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Global Risk 2020

It’s Time for Banks
to Self-Disrupt
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Global Risk 2020

IT’S TIME FOR BANKS
TO SELF-DISRUPT

                  GEROLD GRASSHOFF

                  MATTEO COPPOLA

                  THOMAS PFUHLER

                  STEFAN BOCHTLER

                  NORBERT GITTFRIED

                  PASCAL VOGT

                  CARSTEN WIEGAND

April 2020 | Boston Consulting Group
CONTENTS

                  3     OVERVIEW
                        Reinforce Essential Activities
                        Anticipate Downstream Impacts
                        Accelerate Digitization

                  6     FIVE YEARS OF DECLINING PROFITABILITY
                        Regional Returns Highlight Shared Challenges
                        COVID-19 Injects New Uncertainty
                        The Crisis Will Accelerate the Need for Deeper Changes

                 11     RESPONDING TO THE COVID-19 CRISIS
                        Safeguarding Liquidity and Funding
                        Applying a New Lens to Credit Risk Management
                        Adapting Compliance to the New Environment
                        Putting These Changes into Action

                 15     UNDERSTANDING THE ART OF THE POSSIBLE
                        Digitizing the Risk Function
                        Digitizing Market Risk Management
                        Digitizing Credit Processes
                        Digitizing Balance Sheet Management
                        Digitizing Regulation and Compliance

                 22     HOW TO MAKE DEEP CHANGES THAT LAST
                        Prioritize High-Value Opportunities
                        Optimize Core Processes
                        Create the Right Enablers
                        Employ Agile Ways of Working

                 25     FOR FURTHER READING

                 26     NOTE TO THE READER

2 | It’s Time for Banks to Self-Disrupt
OVERVIEW

D    isruption does the most damage when it meets resistance.
     Although banks have risen admirably to the surge of demands
imposed upon them in the aftermath of the 2007–2009 financial crisis,
most have continued to fight back within the bounds of their existing
business and operating models rather than yield and adapt to the
systemic shifts underway.

As this year’s report makes plain, that approach hasn’t worked. Eco-
nomic profitability is down globally, with returns shrinking in nearly
every market. Income growth is lackluster, and despite continued
efforts to rein in costs, most banks still have not been able to sustain
the performance gains needed to secure their future. The current
COVID-19 crisis, the strongest test that the global financial system
has faced since 2007–2009—and whose long-term effects are still
unknown—may make the challenges that much more difficult.

In addition to the sobering public health repercussions, the swiftness
and severity of the outbreak have shuttered businesses the world
over—for weeks and, in some cases, months, at a time. On a sectoral
basis, we expect widespread and heterogeneous impacts. Banks will
likely see margin and volume compression owing to lower interest
rates and a dampening of client activity and investment. Credit risk is
a particular threat as clients come under increased liquidity pressures.
Deteriorating credit quality among counterparties could result in rat-
ings downgrades, greater default rates, and increased pressure on prof-
itability and regulatory capital. Banks are pivotal in helping companies
to bridge liquidity shortages. Thanks to massive central bank interven-
tion, volatility in the short-term funding market for banks is starting to
subside. In the long run, however, banks might face higher funding
spreads and might need to adjust their funding strategies.

Most analysts think we’ll see some form of recession, though the sever-
ity is uncertain. What’s clear is that the more prolonged the crisis, the
greater the economic risk. Between the first few weeks of “firefighting”
and the long-term new normal, we will experience a hybrid stage that
will last for at least three to six months, potentially much longer. To
manage this transition effectively, here’s what banks need to do now.

Reinforce Essential Activities
Effective crisis response will require banks to:

••   Maintain strong liquidity and funding mechanisms. This step is
     clearly crucial—both for banks and for the broader economy. The

                                                             Boston Consulting Group | 3
support measures from governments and central banks will help a
                      lot with this, but banks need to ensure that these measures reach
                      affected functions and clients efficiently.

                 ••   Shore up credit risk management. Although all industries will
                      be impacted by the COVID-19 crisis, the effects will vary by sector
                      and client. Risk drivers specifically related to the COVID-19
                      outbreak are not currently captured by credit-ratings systems.
                      Banks, therefore, need to ensure that they understand their
                      positions and can mitigate issues quickly.

                 ••   Update compliance priorities. Compliance teams should assess
                      projects on the basis of the bank’s risks and commitments and
                      determine what effort will be required to deliver appropriate
                      compliance. Compliance officers must also assess the resilience
                      and adaptability of their operating models and understand how
                      COVID-19 may impact the delivery of different processes. For
                      example, as regulatory bodies like the European Banking Authori-
                      ty have stressed, banks should pay close attention to how the shift
                      to remote working and the potential pressure for banks to make
                      up for lost volumes could test a bank’s anti-money-laundering
                      (AML) and market conduct practices.

                 Anticipate Downstream Impacts
                 We currently see a supply shock, demand shock, and oil price shock
                 at the same time, and for the first time all regions worldwide are
                 affected. The impacts will be different across industries. Gauging
                 those effects will require banks to invest in detailed scenario plan-
                 ning, differentiated by industry sector.

                 Banks must also revisit their business continuity plans—looking not
                 just at near-term impacts but at the wider ripple effects over the next
                 12 to 18 months. That planning must also extend to the operating
                 model to ensure that banks have sufficient controls around processes
                 like cybersecurity, anti-money-laundering, payments and liquidity,
                 and credit.

                 Accelerate Digitization
                 Arguably, one of the most pernicious risks facing banks globally is not
                 external volatility as much as it is a reluctance to shake up institution-
                 al practices and norms at their core. The tactical improvement efforts
                 that banks have made haven’t delivered the transformation needed.
                 Last year, we wrote that digitization is the key to resilience in the
                 banking segment. This year, the unprecedented challenges posed by
                 the COVID-19 outbreak make the digitization imperative all the more
                 urgent.

                 Risk, treasury, and compliance functions can help banks respond to
                 the present crisis and lay the groundwork for banks’ long-term suc-
                 cess. By using AI, machine learning, and other advanced technologies
                 and practices, they can improve bank steering; deliver predictive,
                 real-time insights; and execute faster and more efficiently. Yet suc-

4 | It’s Time for Banks to Self-Disrupt
cess requires a willingness to see disruption not as a threat, but as a
lifeline.

Our thesis is straightforward: banks interested in reducing the risks to
their business, enabling integrated balance sheet management, and
modernizing compliance must develop a clear digital strategy, rede-
sign core processes, and establish the right digital enablers. This re-
port lays out the path to digitization and presents concrete examples
of what that transformation looks like and the results it can achieve.

                                                           Boston Consulting Group | 5
FIVE YEARS OF DECLINING
PROFITABILITY

                           E   ven before COVID-19, bank profitability
                               was on the wane. Since 2014, total eco-
                           nomic profit, which adjusts for both risk and
                                                                                                             Although European banks saw EP gain some
                                                                                                             ground from 2017 to 2018, the overall re-
                                                                                                             sults have been mired in negative territory.
                           capital costs, has fallen by over half, from                                      Meanwhile, the soaring growth that many
                           15 bps to just 6 bps in 2018. (See Exhibit 1.)                                    banks in Asia-Pacific, South America, and
                                                                                                             the Middle East and Africa region enjoyed
                           Only banks in North American countries                                            during the middle part of the last decade
                           had been building a sustainable recovery.                                         has foundered.

  Exhibit 1 | North America and Europe Show Growth in Economic Profit, but APAC Slides Further

         ECONOMIC PROFIT GENERATED BY GLOBAL BANKS, RELATIVE TO TOTAL ASSETS, 2014–2018
   Economic profit
   (basis points)                             North                                                     South                     Middle East                    Global
                 Europe                      America1                     Asia-Pacific                  America1                   and Africa                     average
   200             –384                           232                           537                          72                          49                           506

   100
                                                                                                             94 91
                                                                                                 70                                    62
                                                                    52 43                                                52   45 50 47    44
                                             31 27 25 35                  31 19                        33
                                       20                                                   7                                                              15 16 11         7     6
     0
         –26 –24 –26 –22 –14
  –100

  –200
           Signs of recovery                Back on track                  Declining                   Declining                     Steady

         –94         –90         –48   32          47          60   171         117         26   13          24          10   8           10          9   130         108         57
         2014      2016      2018 2014            2016        2018 2014      2016          2018 2014        2016        2018 2014        2016        2018 2014    2016           2018
               –81         –71               52          41               155         68               7           18               10          12              143         68
            2015       2017                 2015        2017          2015        2017                2015        2017            2015         2017          2015       2017

                Cumulative economic profit, 2014-2018 (€billions)                                 Economic profit (€billions)

   Sources: BankFocus; annual reports; BCG Risk Team database; Bloomberg; BCG analysis.
   Note: Exchange rates from 2018 are used for comparability.
   1Total assets are lower than in Europe because of local and US generally accepted accounting principles.

6 | It’s Time for Banks to Self-Disrupt
Eroding returns combined with the deep un-         Inconsistent regulatory standards are yet
certainty around the long-term impacts of the      another issue. Differing rules and reporting
COVID-19 outbreak heighten banks’ vulnera-         requirements across jurisdictions saddle
bility. Although other sectors prospered over      European banks with additional compliance
the past decade, most banks have struggled         complexity as well as cost. The creation of
to reset. Few have been able to adapt their        a European banking union and capital mar-
business and operating models sufficiently to      kets union would help to provide a more
address the cumulative impact of risk, capital,    level playing field for institutions in the
and compliance costs.                              region.

These are among the findings of BCG’s tenth        North America, by contrast, saw EP leap to a
annual study of the overall health and perfor-     five-year high of 35 bps in 2018. The 10-point
mance of the global banking industry. The          rise from the year before was buoyed by
study assessed the EP generated from 2014          lower capital costs as well as a drop in loan
through 2018 by more than 350 retail, com-         loss provisions and operating costs across
mercial, and investment banks, covering            banks in North America. Refinancing char-
over 80% of the global banking market. Be-         ges took some of the edge off this growth,
cause EP weighs refinancing, operating, and        however. Despite higher gross income and
risk costs against income, it provides a com-      dividends, net interest and dividend income
prehensive measure of a bank’s financial           fell from 210 bps in 2017 to 198 bps in 2018.
health and serves as a useful gauge to deter-      Fees, commissions, and trading income also
mine the impact of ongoing regulatory, tech-       softened.
nological, and competitive pressures on bank
performance.1                                      Elsewhere, regions once synonymous with
                                                   rapid growth faced challenges. Banks across
                                                   Asia-Pacific faced the fourth straight year of
Regional Returns Highlight                         major declines. Since 2014, EP has collapsed,
Shared Challenges                                  shedding 45 bps to rest at just 7 bps in 2018.
Banking may still be a multispeed world,           Although trading revenues notched modest
but the global engine is slowing down. Look-       advances, banks saw their two largest income
ing regionally, we see a few bright spots,         streams drop to five-year lows. Cost pressures
though also some areas of concern. (See            also grew more acute. Across the region, oper-
Exhibit 2.)                                        ating costs jumped 7 bps year on year. The
                                                   EP gap between top-performing banks in
On the plus side, banks in European coun-          China and those in other countries narrowed
tries gained a bit of breathing room in 2018.      in 2018, with institutions in Japan and India
A slight improvement in trading income             benefiting from lower capital costs and loan
combined with a reduction in provisioning          loss provisions.
requirements and average capital costs ele-
vated EP by 8 bps over the prior year to –14.      The falling EP theme was also repeated in
These gains were not enough to overcome a          South America and in the Middle East and
rise in refinancing costs, however. As a result,   Africa. In South America, EP fell from 91 bps
net interest and dividend income dropped           in 2017 to 52 bps to 2018, ending what had
4 bps from 2017 to 2018.2 Operating costs          been a period of strong recovery. Net interest
also spiked. These factors depressed average       and dividend income fell by 113 bps year on
EP, keeping totals underwater for most Euro-       year. Although cost performance improved,
pean banks.                                        with notable reductions in refinancing and
                                                   operating expenditures, these savings were
High nonperforming-loan (NPL) ratios contin-       not enough to offset the steep declines in in-
ue to be a problem. Whereas banks in the US        come. In the Middle East and Africa, banks
lowered NPL ratios from an average of 5.0%         faced a parallel hit as revenues fell in every
in 2009 to just 0.9% in 2018, NPL ratios in the    income category while capital and risk costs
Euro area were more than three times higher        rose. As a result, EP sank to a five-year low of
in 2018 (2.9%).                                    44 bps.

                                                                                     Boston Consulting Group | 7
Exhibit 2 | Economic Profit Varied by Region in 2018

                             COMPONENTS OF ECONOMIC PROFIT GENERATED BY GLOBAL BANKS,
                                        RELATIVE TO TOTAL ASSETS, 2014–2018
                                             North                                                               South                                Middle East
            Europe                          America1                        Asia-Pacific                         America1                              and Africa
                                                                                                                              1,386

                                                                                                                      1,161
                                                                                                              1,122                    1,139

                                                                                                      1,024

                                                                                                                              1,025

                                                                                                                                       750
                                                                                                                      930
                                                                                                               952
                                                                                                      858                                                           569    544
                                                        496   499
                                                                                                                                               464           466
                                    449    443   437                                                                                                  450
                                                                      398                391    387
          347          347                                                  385    371
    336          336          343                       280   296                                                                                                   429
                                    238    235                                                                                                                             421
                                                 241                                                                                   161     323           339
                                                                                                                               180                    321
    250   253    240   242    234                                     328   313    284   311    309
                                    112    113          136   126                                                     140
                                                 120                                                                                   228
                              57                                                                      141      137             181              82     79     79     86    75
     55    58    53     59                                                         47     50    44
                                     98    95     76    81     77     49     51                                        91                       59
     31    36    43     46    53                                      21     21    41     31    35     25      33                                      51     48     54    48
                                    –51    –47   –50    –70
    –127 –125 –115 –114 –108                                  –98                                                                              –107 –104 –130
                                                                     –152 –144 –126 –145 –146                                                                 –172 –177

    –138 –148 –149 –147 –151        –270 –252 –240 –267               –99   –95 –108 –96 –103                                          –410    –167 –156 –156
                                                        –248
                                                                                                      –502            –505                                          –183 –163
                                                                      –94 –103 –106 –132 –132                 –604            –572
    –97   –99    –98 –108 –98
                                    –108 –113 –121                                                                                             –144 –140 –133
                                                                     –346 –341 –340
    –362 –371 –362 –369 –358                            –134 –119                   –373 –381
                                                                                                                                                      –400          –153 –160
                                    –429 –412 –411                                                                                             –419          –419
                                                        –471 –464
                                                                                                                                                                    –507 –500

                                                                                                      –288                             –455
                                                                                                                      –358
                                                                                                              –300
                                                                                                                              –512
                                                                                                      –164

                                                                                                      –954 –186 –203                   –222

                                                                                                                    –1,067            –1,087
                                                                                                              –1,089
                                                                                                                              –222

                                                                                                                              –1,305

    –26          –26          –14    20           27           35     52           31           7      70              94               52      45            47           44
   2014         2016         2018   2014         2016         2018   2014         2016         2018   2014            2016            2018     2014          2016         2018
          –24          –22                 31           25                   43           19                   33              91                      50            62
          2015         2017               2015         2017                 2015         2017                 2015            2017                    2015          2017

   Income components per asset                     Interest and dividends                 Fees and commissions                        Trading and other sources
   (basis points)

   Cost components per asset                       Risk costs                             Operating cost                              Refinancing
   (basis points)
                                                         Economic profit per asset (basis points)

   Sources: BankFocus; annual reports; BCG Risk Team database; Bloomberg; BCG analysis.
   Note: All values are per asset—that is, the total value in euros divided by the total assets in euros, then expressed in basis points. Because
   of rounding, some values do not add up to the totals shown. The order of the regions reflects a focus on Europe and North America; the
   remaining regions are sorted according to total assets. Exchange rates from 2018 are used for comparability.
   1Total assets are lower than in Europe and Asia-Pacific because of local and US generally accepted accounting principles.

8 | It’s Time for Banks to Self-Disrupt
COVID-19 Injects New                                                     capital instruments that do not qualify as
Uncertainty                                                              common equity tier 1 (CET1) capital, such as
Although banking leaders are familiar with the                           additional tier 1 or tier 2 instruments to meet
vagaries of the business cycle, none have seen                           Pillar 2 requirements that are set to come
economic productivity come to a crashing halt                            into effect starting in January 2021.
as it has in response to the COVID-19 crisis. As
the outbreak has accelerated, markets have                               The US Federal Reserve has also stepped in
started to price in epidemic-related risks. Equi-                        to backstop banks, purchase commercial pa-
ty markets have posted some of the biggest                               per, and shore up financial markets more gen-
daily declines since the financial crisis. Valua-                        erally. As part of these interventions, the Fed-
tions of less risky assets, meanwhile, have                              eral Reserve has announced that it will offer
reached record levels, amid significant uncer-                           a new Primary Dealers Credit Facility, which
tainty. It will take time for the full effects of the                    will allow banks to get the short-term loans
pandemic to be fully understood.                                         they need to buy and hold securities includ-
                                                                         ing corporate bonds.
While the disruption is serious, it may not be
permanent, however. The majority of past                                 To respond effectively to the crisis, banks and
epidemics saw a temporary shock to the                                   other essential sectors must do their part.
economy followed by a rebound. If that pat-
tern holds, we might see a similar V-shaped
recovery once the COVID crisis stabilizes. But                           The Crisis Will Accelerate the
more pessimistic scenarios could result, de-                             Need for Deeper Changes
pending on the length and severity of the                                Global banking is a large arena with diverse
outbreak and the effectiveness of govern-                                players. Individual market characteristics also
ment and market interventions.                                           vary. But while some institutions are prosper-
                                                                         ing, many more have proved unable to gener-
Crucially, several central banks have taken ac-                          ate the cost and efficiency gains needed to
tion to instill continued confidence in the fi-                          offset sluggish revenue performance. Banking
nancial system and help offset an economic                               consolidation has been on the rise for the
slowdown. For example, the European Cen-                                 past ten years, with the US leading the way.
tral Bank (ECB) announced that banks can                                 (See Exhibit 3.) The absolute number of
make full use of their liquidity buffers and                             banks in the EU is still 2.5 times higher than
operate temporarily below the minimum lev-                               in the US. This suggests that we’re likely to
el of the liquidity coverage ratio. Banks can                            see consolidation pick up pace in Europe over
also get relief on their capital requirements—                           the next several years, especially given the
for example, they can make use of hybrid                                 intensifying margin pressures.

  Exhibit 3 | Banking Consolidation in the US Is Further Advanced Than in the EU
                  TOTAL NUMBER OF COMMERCIAL                                                TOTAL NUMBER OF MONETARY FINANCIAL
                         BANKS IN THE US                                                           INSTITUTIONS IN THE EU
  20,000                                                                       20,000
                                                                                        18,268
                                                                                                 17,749
                                                                                                          17,120
                                                                                                                   16,135
                                                                                                                            15,463
                                                                                                                                     14,834 14,484
  15,000                                                                       15,000                                                                13,534
                                                                                                                                                              12,821 12,292
                                                                                                                                                                              11,948

  10,000                                                                       10,000
         6,978 6,719
                     6,402 6,208 5,984
                                       5,743 5,502 5,260
                                                         5,033 4,853 4,653
   5,000                                                                        5,000

      0                                                                            0
           2009                       2014                         2019                 2009                                         2014                                     2019

   Sources: Statista; St. Louis FRED; ECB.

                                                                                                                                     Boston Consulting Group | 9
Improving EP—and sustaining those gains—          ••   Manual Analyses and Reports. A lack
                 will require risk, treasury, and compliance to         of interoperability and disparate flows
                 operate faster and more incisively, backed by          of data force many risk, treasury, and
                 real-time data, predictive analytics, and end-         compliance teams to input and manipu-
                 to-end automation. But these functions often           late data manually. For example, market
                 do not have the data and analytics needed to           risk teams often have to create the spe-
                 advance business and customer outcomes.                cialized analyses they need by hand in
                 Common challenges include:                             order to address supervisory findings.

                 ••   Outdated Modeling Tools. Most banks          Responding to these challenges requires more
                      lack the simulation and analytics tools      than surface-level fixes. Banks need to antici-
                      that are required to maintain a stable net   pate how their market is likely to change over
                      interest income (NII) over time. A lack of   the next three to five years, pinpoint areas
                      computational power leaves teams to rely     where they have the permission and exper-
                      on preliminary and approximated values       tise to lead, and highlight areas where they
                      instead of more accurate pricing and risk    are most vulnerable to disruption. Risk, trea-
                      management models.                           sury, and compliance can help drive that
                                                                   change. But that starts with putting aside the
                 ••   Unwieldy Legacy Architectures. Patches       traditional playbook and imagining how digi-
                      and workarounds made to accommodate          tization can reinvent bank steering.
                      bank growth over the years have strained
                      many legacy IT systems, making them
                      harder and more costly to maintain.

                 ••   Visibility Gaps. Inefficient data manage-    Notes
                      ment often results in blind spots that can   1. A bank’s EP equals its gross income minus refinanc-
                                                                   ing and operating costs, loan loss provisions (LLPs), and
                      prevent banks from making the necessary      capital charges (common equity multiplied by the cost
                      risk management decisions at the right       of capital). LLPs and capital charges are barometers of
                      time—for example, only 50% of bank           macroeconomic and regulatory conditions that, taken
                                                                   together, represent the risk costs that banks incur.
                      treasurers have daily insight into their
                                                                   2. Net interest and dividend income equals gross
                      entire banking book. Redundant data,         interest and dividend income minus refinancing costs.
                      nonstandardized risk calculations, and
                      decentralized end-user applications gen-
                      erate inconsistent results and increase
                      time, cost, and errors.

10 | It’s Time for Banks to Self-Disrupt
RESPONDING TO THE
                             COVID-19 CRISIS

C   OVID-19 may be indiscriminate, but
    the most effective risk mitigations are
not. Banking institutions that take a struc-
                                                      In addition to cataloguing these changes,
                                                      banks also assessed the risks they pose;
                                                      for example, fragmented teams could
tured, targeted approach can minimize their           hinder communication and interfere with
near-term exposures, plan for downstream              the smooth running of the trading desk.
volatility, and respond with swift and or-            Similarly, most banks have reprioritized
derly precision during an otherwise disor-            or descoped noncritical activities to free
dered time.                                           resources and minimize complexity—al-
                                                      though banks will need to review these
We have prepared the following recommen-              changes in due course given the potential
dations to assist risk, treasury, and compli-         regulatory implications.
ance leaders in marshaling an effective
response to the challenges and uncertainties     ••   Scenario Design. In addition to the
posed by the COVID-19 outbreak. Our focus             tactical measures that banks have imple-
is threefold: safeguarding liquidity and fund-        mented to sustain day-to-day activities,
ing, applying a new lens to credit risk man-          institutions now need to assess the
agement, and adapting compliance to the               potential medium- to long-term impacts
new environment.                                      of the COVID-19 crisis. Scenario model-
                                                      ing can help leaders gauge potential risks
                                                      to the operating model and the bank’s
Safeguarding Liquidity and                            liquidity and funding positions. Given
Funding                                               the importance of speed, we recommend
CFOs, treasurers, and CROs need a clear               that banks start with a limited number
understanding of how liquidity management             of high-level scenarios, then translate
and the treasury operating model may be               these into treasury-specific subscenarios,
impacted. Using this four-step approach can           such as modeling what would happen to
help executives take crucial near-term actions        the liquidity buffer if credit portfolios
and anticipate longer-term needs:                     deteriorated and loan defaults rose or
                                                      if the interbank and repo markets dried
••   Vulnerability Analysis. As an immediate          up and quality collateral became scarce—
     crisis response, most banks assessed how         and indeed, what would happen to
     changes resulting from the COVID-19              the bank’s own credit quality, rating,
     crisis, such as remote working, would            and funding structure if conditions
     impact liquidity and funding operations.         worsened.

                                                                                   Boston Consulting Group | 11
••   Impact Assessment. On the basis of this         deteriorating credit, ratings downgrades, and
                      modeling, banks then need to identify the       higher default rates for some bank clients.
                      potential repercussions. Under business
                      activity, banks can use deterministic or        To understand which clients are likely to be
                      stochastic simulations and stress testing       most affected, banks need to take a new ap-
                      to estimate the revenue and earnings            proach to credit risk management in order to
                      disruption from a potential decline in          anticipate declining credit quality more
                      sales or trading volumes. Under the             quickly and intervene proactively.
                      treasury operating model, banks should
                      gauge what it will take to sustain opera-       The revised approach requires banks to con-
                      tions in the short term and how critical        duct granular analysis on an industry basis to
                      functions could be affected during the          understand how the COVID-19 crisis could
                      crisis. Banks need to ensure that they have     impact a sector’s supply- and demand-side
                      sufficient controls around processes like       economics. Stress testing can allow banks to
                      cybersecurity, anti-money-laundering,           model potential liquidity impacts and gauge
                      payments and liquidity, and credit.             which industries are likely to be hardest hit.

                 ••   Trigger-Based Actions. After weighting          Banks then need to review their portfolios to
                      the probability and severity of these           see which clients in affected industries are
                      impacts, banks need to prepare appropri-        most at risk. Analyzing the EBITDA margin,
                      ate contingency actions. This should            free cash flow, and cost structure can help
                      include identifying clear performance           banks assess the intrinsic “fragility” of a
                      indicator thresholds that would serve as        company’s balance sheet. They should also
                      triggers, to be monitored daily. Operat-        review leading financial and liquidity indica-
                      ing-model stability actions could include       tors, such as cash conversion cycle, days
                      diversifying key treasury activities (includ-   payable and days sales outstanding, net
                      ing on a geographic basis and within            financial position, and interest coverage
                      buildings), tracking contact among em-          ratio.
                      ployees responsible for critical functions,
                      governance changes (like bringing money
                      market and repo desks fully under trea-
                      sury control), and—if not already done—
                                                                      Banks need to assess which
                      purchase and deployment of technologies         clients are most at risk
                      to support remote working. Structural-
                      funding stability actions could include a
                                                                      during this crisis.
                      strategic review of risk appetite limits to
                      weather market volatility, as well as
                      reviewing liquidity buffer size and liability   Examining a client’s transaction history can
                      structure to cover short-term and structur-     be an additional lens to spot deteriorating li-
                      al liquidity under all relevant scenarios.      quidity conditions. Studying changes in in-
                      Potential triggers for increasing spread        flows and outflows and shifts in traditional
                      levels would also lead to market timing         transaction patterns by geographic area could
                      questions around management of the              help credit risk teams get an early view on
                      liquid asset buffer (beyond central bank        potential supply chain risks. Scenario and
                      support) and issuance of longer-term debt.      sensitivity analyses can help banks simulate
                                                                      how client risk rankings would shift under
                                                                      different conditions, such as whether they
                 Applying a New Lens to Credit                        would move from a stage 1 risk level to stage
                 Risk Management                                      2 or 3. Being proactive can also help banks
                 Although governments and central banks               look for ways to help clients mitigate their li-
                 around the world have taken aggressive mea-          quidity pressures—for example, by leveraging
                 sures to provide individuals and businesses          government measures intended to support fi-
                 with needed liquidity, the economic impacts          nancial institutions, banks may be able to
                 of the COVID-19 crisis will invariably result in     provide greater lending support.

12 | It’s Time for Banks to Self-Disrupt
Taking a new lens to credit risk management        to project postponement or cancellation, com-
would allow banks to do the following:             mitments to the ECB or other authorities and
                                                   to internal stakeholders such as the board of
••   Gain a forward-looking view on the            directors, risk committee, or internal audit.
     creditworthiness of each customer to
     support IFRS9 provisioning decisions such     Given the delicate nature of compliance proj-
     as staging and expected credit loss (ECL).    ects, which usually entail mandatory regula-
     Predictive analyses would also help banks     tion and close interaction with regulatory
     avoid unnecessary reclassification of         authorities, banks should implement robust
     exposures, such as in cases where clients     risk assessment with clear and objective per-
     are experiencing only temporary distress      formance indicators, rating scales, and other
     (in keeping with the suggested regulatory     information that can be used and referred to
     and supervisory flexibility on the IFRS9      later to explain any change of plans.
     requirements application).

••   Quantify the degree and gauge the timing
                                                   Crucially, banks must ensure
     of impacts on the bank’s provisioning and
     capital levels under each scenario.           that their credit origination
••   Fine tune credit actions on the basis of
                                                   process is fully industrialized.
     identified client vulnerabilities and the
     quantification and timing of impacts.
     Credit actions could combine levers such      We see four main actions as a result of such a
     as moratoria, government-backed financ-       risk assessment:
     ing (for new or expiring lines), and new
     credit lines to clients facing short-term     ••   Maintain current activities and dead-
     cash shortages. They can also include              lines if risk/commitment and maturity/
     other forms of debt restructuring, such as         flexibility are high (for example, an ECB
     maturity revision, interest-only payments,         remediation plan on governance that can
     and the conversion of short-term debt into         be delivered remotely).
     long-term. In addition, banks should con-
     sider sharing the results of this exercise    ••   Extend deadlines if maturity/flexibility
     with their clients to aid discussions and          is high and risk/commitment is low (for
     enhance the client experience.                     example, a new set of GDPR controls that
                                                        can be delivered over a longer time-
Finally, banks need to revise their credit poli-        frame).
cies to align with their updated credit risk
approach. Crucially, banks must ensure that        ••   Reshape and potentially postpone
their credit origination process is fully indus-        initiatives if risk/commitment is high but
trialized (capable of managing fast-track re-           maturity/flexibility is low (for example, a
views, with dedicated committees in place,              new IT tool deployment).
and predefined credit assessment criteria) in
order to accommodate a likely increase in          ••   Put initiatives on standby if risk/
credit application volumes.                             commitment and maturity/flexibility are
                                                        both low (for example, an efficiency
                                                        project on compliance activities within
Adapting Compliance to the New                          the function).
Environment
In the short term, chief compliance officers       Some actions require a proactive dialogue
(CCOs) should reprioritize projects according      with authorities, as well as the board and au-
to the bank’s risks and commitments and de-        dit function. From our experience, regulatory
termine what effort will be required to deliver    and banking authorities are usually ready to
appropriate compliance. Risks and commit-          start a dialogue, even during significant reme-
ments may include the bank’s risk exposure         diation cases. But being proactive is key.

                                                                                     Boston Consulting Group | 13
Some banks have already started to imple-          ••   The feasibility of shifting a critical mass
                 ment this kind of approach to managing the              of compliance personnel to remote
                 project portfolio:                                      working

                 ••   Following the COVID-19 travel ban in          ••   Where remote working is not possible,
                      Europe, a large EU-based bank initiated            the feasibility of concentrating full-time
                      a dialogue with authorities to review              employees in one physical space
                      upcoming onsite visits, developing a
                      variety of contingency options in terms       ••   The ability to cluster (rather than frag-
                      of timing, location, and working                   ment) activities across geographic areas,
                      modalities.                                        which can reduce operational risk

                 ••   Another large EU bank discussed its           ••   The reliability of backup plans, such
                      remediation plan with the ECB fol-                 as alternative methods for screening
                      lowing the Supervisory Review and                  payments
                      Evaluation Process (SREP) and the
                      onsite inspections, with a view to            ••   The degree of dependence on specific
                      adapting deadlines and action points               suppliers and suppliers’ ability to react
                      to reflect the impact of remote                    to the COVID-19 crisis
                      working.

                 Beyond optimizing their project portfolio, in      Putting These Changes into Action
                 the medium and long term, CCOs need to             Banks are dealing with massive complexity
                 understand the implications that COVID-19          and worried clients. To help streamline exe-
                 might have on their operating model and            cution, institutions should consider creating
                 respond appropriately. To streamline that          two types of teams: rapid-response teams
                 review, we recommend that banks sort pro-          charged with overseeing crisis management
                 cesses into three categories according to their    activities, and business continuity teams
                 importance and relative risk: those critical for   focused on helping banks carry out their
                 the compliance function and the business           essential activities over the medium and
                 (such as financial-sanctions screening on          longer terms.
                 names and payments), those critical for com-
                 pliance (such as risk assessment and compli-       In addition, the crisis will require banks to
                 ance planning), and those that are useful but      increase investment in certain areas. These
                 not critical (such as general advisory or          include tools to enable remote working, dash-
                 training).                                         boards and enablers to help facilitate client
                                                                    communications, and perhaps even digital
                 For example, within the first category, CCOs       branches that allow clients to conduct their
                 should consider that pressure to make up for       banking activities virtually or “touchless”
                 lost client activity and volumes could height-     kiosks that can help them feel more comfort-
                 en the risk of business shortcuts, such as         able accessing ATM machines and other
                 expediting account openings, that could in-        services.
                 crease the bank’s exposure to financial-crime
                 violations. Anticipating such increases in risk    At the same time, disruption can also create
                 exposures and adapting processes and con-          opportunities. Firms with strong cash flow
                 trols would allow compliance officers to           could use this period to accelerate their
                 continue to safeguard banks with a forward-        growth through strategic mergers and acquisi-
                 looking perspective.                               tions. Others could use the recommendations
                                                                    laid out here to innovate their operating mod-
                 In addition, CCOs need to assess the resil-        el, introducing such things as a new perma-
                 ience of their operating model and how             nent virtual working model that could give
                 COVID-19-related shifts could impact execu-        banks and their employees greater flexibility.
                 tion. To make that assessment, CCOs should
                 consider the following:

14 | It’s Time for Banks to Self-Disrupt
UNDERSTANDING THE ART
        OF THE POSSIBLE

E   ven before the COVID-19 outbreak,
    banks were facing a different type of
disruption, as digitization and fast-moving
                                                  insights that they need to protect the bank’s
                                                  interests, boost performance, and generate
                                                  value.
digital natives threatened to upturn long-
standing business and operational norms. But      BCG’s experience shows that digitization can
while some institutions have adapted, many        remake risk, treasury, and compliance activi-
more have been slow to make the root-level        ties in profound ways. Here’s how.
changes needed. They can no longer wait.
Committing to a full digital transformation
now will allow banks to become significantly      Digitizing the Risk Function
more responsive, lean, and adaptive—precise-      A truly digital chief risk officer (CRO) could
ly the qualities they need to overcome current    become both a nucleus and a force multipli-
system shocks and future competitive ones.        er for bankwide digital transformation. Data
                                                  visualization, big data analytics, and AI will
Digitizing the risk, treasury, and compliance     dramatically improve model performance,
function will enable banks to anticipate dis-     allowing teams to run source data through
ruptive events and their potential implica-       concurrent simulations, select the most accu-
tions earlier and act on those insights faster.   rate ones, and use the time saved to address
To get a sense of what that future look likes,    other important business questions. Report-
consider that in ten years, leading banks will    ing tasks will become highly automated, giv-
have entirely different capabilities at their     ing personnel more time to devote to special-
fingertips. Big data analytics, machine learn-    ized analyses. Machine-learning algorithms
ing, AI, service-based IT architectures, appli-   and centralized incident libraries will help
cation programming interface (API) layers,        teams predict and prevent operational risk
and centralized data storage will provide risk,   (OpRisk) events. Instead of traditional unit-
treasury, and other functions with transpar-      based self-assessments, data-driven, risk-
ency into the banking and trading book,           based classifications can aid the bank in
allowing teams to anticipate changes in the       determining the most appropriate preventive
broader markets in real time. Productivity        measures and surveillance to employ across
will improve as digitally redesigned process-     the bank in order to avoid costly incidents.
es automate work cycles, improve compli-
ance, cut manually induced errors, and free       As regulatory reporting becomes largely auto-
up resource capacity. Sophisticated modeling      mated, the CRO will be able to focus more
will give managers the confidence-weighted        time on risk management decision making,

                                                                                  Boston Consulting Group | 15
providing predictive insights to guide C-level     as XVA) becoming standard, banks are also
                 discussions and assist other stakeholders.         being pushed to develop more sophisticated
                 Using advanced modeling techniques, for            and computationally intensive risk and pric-
                 example, the CRO could create an early-            ing models.
                 warning system. Pattern analysis tools would
                 comb customer transaction data and external        The problem for many market risk profes-
                 information, such as online ratings or satellite   sionals, however, is that they are stuck trying
                 data, looking for signals and triggers that        to generate state-of-the-art analytics from an
                 would allow risk managers to take effective        aging and outmoded IT infrastructure. Banks
                 countermeasures. BCG’s experience suggests         and market risk leaders can begin to address
                 that a fully automated system could predict        these issues by embracing platform models.
                 a negative event in time to send an early-         Built on modular architectures that take ad-
                 warning signal as much as 18 months in             vantage of the cloud, platforms simplify the
                 advance.                                           task of data management. A centralized data
                                                                    layer gathers, cleans, and validates data from
                                                                    multiple sources and houses it in one loca-
                 Digitizing Market Risk                             tion. Tools embedded in the platform allow
                 Management                                         teams to generate ad hoc analytics, with dy-
                 In many respects, the market risk department       namic reporting that makes it easy to share
                 is a bank’s nerve center. It manages risk to       the results. Instead of spending hours scrub-
                 the bank’s trading book from changes in equi-      bing and manipulating data, they can spend
                 ty prices, interest rates, credit spreads, and     their time modeling and using the results to
                 other financial indicators. Fulfilling those re-   improve trading-book performance. (See the
                 sponsibilities successfully requires the team to   sidebar, “Build a Next-Generation Market
                 make sense of enormous amounts of data—a           Risk Platform.”)
                 task that has become considerably more chal-
                 lenging in recent years. Although market risk
                 professionals are well versed in applying          Digitizing Credit Processes
                 mathematical and statistical techniques to         Numerous digital solutions lend themselves
                 calculate risk, many are reaching the limits of    to more efficient credit processes, from APIs
                 what they can do with the tools they have          that help banks collect data to custom appli-
                 today.                                             cations that can price risk more accurately all
                                                                    the way to programs that can be integrated
                                                                    directly into client systems.
                 Many market risk profession-                       In the front office, digital customer interfaces
                 als are stuck trying to gener-                     and document exchanges can enable a more
                                                                    responsive and informed sales funnel. Shared
                 ate state-of-the-art analytics                     platforms can ensure that customers, rela-
                 from an aging, outmoded IT                         tionship managers, and risk functions can
                                                                    access the same loan application information
                 infrastructure.                                    and communicate across a single interface.
                                                                    Workflow tools such as digital workbenches
                                                                    can help relationship managers spend less
                 As trading products become more sophisticat-       time on paperwork and more time on cus-
                 ed and the number of risk factors that em-         tomer relationship management.
                 ployees need to manage grows, valuation
                 models have become increasingly complex.           Digitization can also transform risk manage-
                 Regulatory requirements have ratcheted up          ment, allowing banks to automate risk
                 the pressure further, forcing market risk          reviews for lower-risk clients and projects
                 teams to develop multiple simulation ap-           (about 80% of the typical bank portfolio),
                 proaches and analyses, an exercise that often      freeing risk management personnel to con-
                 requires significant manual effort to com-         centrate on higher-risk clients and more com-
                 plete. With new valuation adjustments (such        plex deals.

16 | It’s Time for Banks to Self-Disrupt
BUILD A NEXT-GENERATION MARKET RISK PLATFORM
Most risk, treasury, and compliance                                                  specialized modeling in hours or minutes
functions lack a comprehensive and                                                   instead of days.
centralized data model that can support
relevant underwriting, disbursement, and                                             Getting the data model right can allow
booking activities. Modern analytics plat-                                           banks to automate at scale, feeding credit
forms that take advantage of cloud com-                                              process activities from preapprovals to
puting and microservices are becoming                                                early-warning systems with the information
a core requirement. These platforms are                                              and insights needed. In addition, the
capable of ingesting structured and un-                                              modern infrastructure can help organiza-
structured data from a variety of sources.                                           tions reduce their run costs for IT systems.
Housing data in a centralized location                                               By enabling teams to get the information
creates a single point of truth, increasing                                          they need more quickly in one platform,
the accuracy of the resulting analytics.                                             banks can see a 20% to 40% reduction in
Calculation tools embedded in platforms                                              cloud use, lowering their total IT costs.
allow teams to run routine and complex
scenarios quickly.                                                                   The most effective data platforms have four
                                                                                     independent layers. (See the exhibit.)
Within a market risk context, advanced
data platforms can pool information from                                             The Data Sourcing and Data Storage
commercial data providers and publicly                                               Layer. Reusability and data integrity are
available repositories—as well from across                                           core design principles. By centralizing data
the bank’s own internal sources, including                                           and permitting one instance of each data
customer, transaction, account, and online                                           set, banks can establish a single point of
data—and allow analysts to conduct                                                   truth and reduce redundancy and error.

  The Optimal Market Risk Platform Has Four Independent Layers

     1                Position data          Market data         Counterparties          Portfolios         Accounting and balance sheet data

     2                                           Data quality management (quality and product mapping)

     3
          functions

                                                                     Valuation                        Scenarios
            Basic

                                                 Sensitivities                    Simulated PVs                 Expected cash flow

                              Capital requirements         (Stress-)VaR             DVA/XVA                Actual P&L             Market conformity
                                   Spread risk                  IRC                 CVA-IMA               Hypoth. P&L             MC f. subsidiaries
                                                           Back-testing             CVA-SA               Risk theor. P&L
                                                            Stress test                                   P&L explain
          Risk functions

                                   Risk and                  Event EQ                                                                 Market
                                    capital                Market risk                XVA                     P&L                   conformity

                                   FRTB-SA                 IRRBB EVE                SA-CCR             EMIR reconciliation       RR/ER/EmR/GER
                                 FRTB-SA DRC                IRRBB NII               CCR-IMA               ISDA-SIMM              Predeal limit check
                                 FRTB-SA RRA                  CSRBB

                                      FRTB              IRRBB/CSRBB                   CCR                 Margining               Exposure/Limit
          functions
           Control

                                                     Conduct                      Position control                Further controls

     4                     Analyses and reports                           Ad hoc analyses                                    Data export

  Source: BCG analysis.

                                                                                                                                                  Boston Consulting Group | 17
BUILD A NEXT-GENERATION MARKET RISK PLATFORM
                      (continued)
                      Changes in applied data sets for down-                allows basic functions to be applied and
                      stream calculations are guided solely by              reused to feed downstream calculation
                      functional reasons to reduce fragmenta-               processes and reduce redundancy.
                      tion, and all old data is preserved so that it
                      can be retrieved whenever required.              ••   Risk Functions. Grouping similar risk
                                                                            functions together (such as the Stan-
                      The Data Quality Management Layer. The                dard Approach of the Fundamental
                      DQM layer enables rules and procedures                Review of the Trading Book [SA-FRTB]
                      for data collection and management to be              and ISDA Standard Initial Margin
                      standardized and maintained. A highly                 Model [ISDA-SIMM]) fosters consisten-
                      automated data validation function pre-               cy and enables calculations from the
                      serves data stability, reduces the need for           basic functions layer to be reused and
                      manual checks, and speeds downstream                  functions and calculations to be
                      calculation processes. These capabilities             maintained independently.
                      help banks satisfy regulatory compliance
                      requirements for adherence to prudent            ••   Governance and Control Functions.
                      DQM (for example, “principles for effective           Clustering prudent operations functions
                      risk data aggregation and risk reporting,”            (stale position identification, for ex-
                      as summarized under the Basel Commit-                 ample) promotes consistency and
                      tee on Banking Supervision 239).                      reuse.

                      The Calculation and Risk Evaluation              The Analytics and Reporting Layer.
                      Layer. This layer gives banks the ability to     Automating frequently used inputs in
                      run routine and complex analyses. For            reporting, such as notes and references on
                      maximum efficiency, companies should             a profit and loss statement, can improve
                      structure calculation and risk evaluations       process stability and accuracy.
                      into three sublayers:

                      ••   Basic Functions. Defining and bundl-
                           ing core calculations into one sublayer

                 In the back office, digitization can enable                suites that are overly complicated and
                 straight-through processing in areas such as               inconsistent. Regulatory supervisors are
                 contract drafting, loan administration, and                now asking banks to simplify these
                 collateral management (for example, interest               models and the processes that support
                 rate fixing).                                              them. To address that requirement, banks
                                                                            should start by harmonizing their models.
                 Banks also need to improve their analytical                Then they can deploy a model “factory”
                 credit risk capabilities. To address these is-             that allows tasks to be conducted in a
                 sues, banks need to do two things. They need               consistent, predefined manner. Building
                 to rationalize for efficiency and innovate for             these capabilities is a significant, multi-
                 competitive advantage:                                     year exercise.

                 ••   Rationalize. Banks have a core set of            ••   Innovate. There are numerous opportuni-
                      scoring or rating models that address                 ties to measure and manage credit risk
                      supervisory expectations and support                  more effectively using alternative data
                      lending decisions. These models can                   sources and advanced analytics. Some
                      follow known industry-standard approach-              banks have chosen to use advanced and
                      es. But many banks struggle with model                traditional analytics in a “champion and

18 | It’s Time for Banks to Self-Disrupt
challenger” setup. Existing models and            We have identified more than a dozen digital
   the related governance and decision               use cases that can help treasuries address
   making are retained, but analytical               longstanding pain points. (See Exhibit 4.)
   alternatives are deployed alongside them,         Three of these have the ability to deliver im-
   without significant governance as a test.         mediate, near-term impact.
   Differences in prediction are analyzed in
   order to understand what they imply for           Enhanced Forecasting. Data analytics allow
   existing and alternative models. This             treasuries to anticipate daily cash flow
   helps to build experience rapidly while           volumes and optimize intraday and end-of-
   insulating the bank from many of the              day liquidity reserves. Rather than relying on
   model risk issues described above (there          historical data, treasuries can take advantage
   is no risk to the bank if the alternative         of the dynamic pattern recognition capabili-
   models are wrong). We encourage this              ties that come with machine-learning en-
   approach.                                         gines. Predictive analytics can tease out
                                                     monthly cash flow patterns, identify seasonal
   Beyond the champion-and-challenger                variations, and anticipate the downstream
   setup, we recommend that banks consider           impact of macroeconomic fluctuations and
   advanced analytics for credit issues where        market stresses, giving treasuries improved
   models currently do not exist or where            visibility and deeper real-time insights into
   the bank’s model risk framework does not          the bank’s intraday and end-of-day positions.
   apply. Examples include application               Enhanced forecasting capabilities could also
   assessment, gray-area scoring, decision           help treasurers anticipate downstream
   routing, and pattern recognition.                 funding demands from new business—a
                                                     capability that would overcome a longstand-
                                                     ing pain point between treasuries and
Digitizing Balance Sheet                             business units and help optimize the overall
Management                                           funding strategy.
The treasury function is responsible for man-
aging the balance sheet and the correspond-          Superior Decision Support. Treasuries can
ing risks, yet BCG survey data shows that 70%        use a variety of proven decision support
of treasury functions lack the data, modeling,       systems to determine the most effective
and analytical tools to address balance sheet        hedges, purchase the best liquid assets, and
and risk management in a meaningful way.             pledge the most useful collateral. Liquidity
Closing these gaps can reduce treasury oper-         buffer “switch tools” can help treasury CIOs
ating costs by an average of 20% to 30% and          optimize the treasury portfolio for risk,
increase the NII contribution by 10% to 15%.         return, and resource consumption within

 Exhibit 4 | Digital Treasury Use Cases Can Address Longstanding Pain Points

                                                                                  ASSET
     SHORT-TERM                                         INTEREST                LIABILITY
                               FUNDING                                                                     PROCESS
      LIQUIDITY                                           RATE                  MANAGE-
                                                                                  MENT

   • Cash management       • Business forecasting   • Interest rate cash   • Tokenization of the       • Manual process
     forecasting             for funding planning     flow forecasting        balance sheet               automation
   • Collateral            • Advanced investor      • IRRBB hedging        • Funds transfer            • Smart workflow
     optimization            analytics                decision support       pricing tool for large      tools
   • Liquidity buffer       • Funding decision       • Trade execution        transactions              • Digital treasury
     decision support        support                  support              • Enhanced asset              dashboard
                                                                             liability
                                                                             management
                                                                             modeling

   Source: BCG analysis.

                                                                                              Boston Consulting Group | 19
regulatory and accounting guidelines—an                                       function. Institutions continue to face steep
                           important capability since those portfolios                                   fines, however. From 2018 to 2019 alone,
                           can account for roughly 20% of a bank’s total                                 total penalties grew by $10 billion, reaching
                           assets. Tools that use optical character                                      $381 billion. (See Exhibit 5.) Supervisory
                           recognition and rules-based expert systems                                    bodies are also becoming more active in
                           can allow treasuries to scan documentation                                    pursuing incidents of financial crime and
                           and quickly determine the optimal (least                                      misconduct. Civil penalties for such actions
                           expensive to deliver) collateral to post.                                     nearly tripled in the US during the past 12
                                                                                                         months, rising from $7 billion in 2018 to
                           Improved Cycle Times and Consistency.                                         $24 billion in 2019.
                           Greater automation and process integration
                           allow treasuries to improve coordination                                      Banks can improve efficiency and lower their
                           across stakeholders. Robotic process automa-                                  risk of infraction in several ways.
                           tion (RPA) can help automate repetitive
                           manual processes, thus speeding response                                      Enhancing Know Your Customer (KYC)
                           times, lowering error rates, and freeing                                      Outcomes. KYC is a time-consuming and
                           treasury personnel to focus on strategic,                                     heavily manual process at most banks.
                           high-value activities. As a bridge technology,                                Digitizing the various steps can relieve
                           RPA can also help treasuries overcome legacy                                  significant capacity and cost pressures in
                           IT constraints until the bank is ready to fully                               four key ways.
                           automate its core processes.
                                                                                                         The first is the efficient collection of client in-
                                                                                                         formation. Mobile apps, web-based portals,
                           Digitizing Regulation and                                                     and video tools, for instance, make it easier
                           Compliance                                                                    for retail banks to collect KYC-relevant au-
                           Compliance continues to drive a substantial                                   thentication information from customers.
                           share of costs for banks and has forced                                       Likewise, automation technologies can help
                           institutions to expend significant resources                                  corporate institutions integrate public regis-
                           over the past decade to keep up with an                                       ters, external data providers, and KYC utilities
                           onslaught of regulatory requirements. With                                    into their KYC workflows.
                           most major new regulations now final, banks
                           have a chance to catch their breath and focus                                 Second, enhanced KYC workflow tools can
                           on bringing renewed efficiency to their                                       boost efficiency by providing user guidance

  Exhibit 5 | Financial Penalties for Noncompliance Continue but at a Slower Pace
            PENALTIES PAID BY BANKS, BY REGION                                                                           PENALTY RECIPIENTS

  Penalties ($billions)                                                                         Penalties ($billions)

                                                                  27      10 381                                                                                 27     10 381
                                                           22                                                                                             22                          30
                                                     42                                                                                            42                                 (8%)
                                                                                        153
                                              25                                        (40%)                                               25
                                      78                                                                                             78
                                                                                                                                                                                      215
                                                                                                                                                                                      (56%)
                               73                                                                                            73

                          52                                                            228                             52
                                                                                        (60%)
                 23                                                                                           23                                                                      137
    22     8                                                                                     22     8                                                                             (36%)

   2009          2011          2013          2015          2017          2019                   2009          2011           2013          2015          2017          2019
          2010          2012          2014          2016          2018          Total                  2010          2012           2014          2016          2018          Total

      European banks             North American banks                                              European regulators            North American regulators             Customers

   Source: Annual reports; press reports; BCG analysis.
   Note: The sample covers the 50 largest European and North American banks. Data through 2015 includes only the penalties, fines, and
   settlements that surpass $50 million; data since 2015 includes only the penalties, fines, and settlements that surpass $20 million. Values may
   not add up to totals shown because of rounding.

20 | It’s Time for Banks to Self-Disrupt
on policies and procedures, pooling transac-      preclassifying detected alerts and generating
tion and product usage reports, archiving files   notes that detail why a false positive can be
from previous reviews, and highlighting           disregarded.
relevant performance indicators in a manage-
ment dashboard.                                   Enhancing Transaction Monitoring. Transac-
                                                  tion-monitoring alert systems also generate
Third, advanced screening tools capable of fil-   many false positives that must be followed
tering news articles can cut down on the num-     up with lengthy investigations where inves-
ber of alerts generated. Language-processing      tigators need to gather new information,
skills embedded in these systems can reduce       understand the context, and investigate the
the rate of false positives in name screening.    entities involved. An AI-based transaction-
                                                  monitoring system can reduce false-positive
Finally, digitization would help banks move       rates in four ways: by improving data quality
from periodic to event-based KYC reviews, es-     and enhancing detection rules, detecting
pecially for low-risk customer segments. Be-      behavioral patterns that improve segmenta-
cause at least 70% of customers typically fall    tion, identifying direct and indirect connec-
into this segment, a more efficient digital way   tions between customers and other entities
of screening can reduce costs significantly       using network analysis, and streamlining
while decreasing risk.                            reporting by incorporating evidence into a
                                                  single document.
Taking advantage of these digital KYC use
cases requires banks to harmonize KYC stan-       Automating Alert Handling. RPA can enable
dards across locations. Institutions must also    more efficient alert handling. Analytics
identify clients with an elevated risk profile.   embedded in the software can help improve
To manage this regulatory requirement,            filtering and can facilitate documentation and
banks need to apply dynamic client risk rat-      reporting, reducing manual work.
ing (CRR) methods that take deviations be-
tween actual and expected product use and
transactional behavior into consideration.

Expediting Screening. Most screening activi-
ties suffer from high rates of false positives,
requiring heavy additional staff time to
review and validate. AI-based tools can
sharply reduce the rate of false positives by

                                                                                  Boston Consulting Group | 21
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