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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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