Banks face many risks. From document fraud to credit risks, the list is exhaustive. Shifting from the traditional risks, banks are also having to deal with something known as ‘physical risks’ where climate change is the main culprit. The wildfire in Canada severely impacted the local economy, whereas floods in Pakistan wiped out 2.2% of its GDP.
AI-driven fraud risks have also become a nuisance for banks, triggered by deep fake scams and synthetic identity fraud. On the service front, customers now expect a frictionless process, so banks need to keep the total turnaround time in mind while devising risk management tactics. It is truly a complex area requiring balancing risks, fraud tactics, and changing customer expectations.
What is Risk Management in Banking
Traversing a complex risk landscape is risk management in banking. It is a three-pronged approach: Identifying, Evaluating, and Managing.
Banking risk management is rather proactive than reactive. The banking sector is heavily regulated, as the tremors of anything threatening the status quo can be felt nationwide. This makes risk management highly crucial for banks, helping with fraud detection, complying with regulations, and minimizing credit risks.
Understanding the Types of Risks in Banking
Let us now list the types of risks banking institutions face.
- Credit risks: Credit risks leave a banking institution vulnerable. Such a risk occurs when a stakeholder fails to meet their obligatory requirements. An individual or company could default on a loan, credit card, or mortgage. External economic conditions, such as a recession or high unemployment, can exacerbate credit risks.
- Fraud risks: Fraud risks involve illegal or deceptive practices targeted against a banking institution or its customers. Common examples include identity theft, phishing attacks, and money laundering. Fraudsters may manipulate transactions or impersonate legitimate account holders. AI-driven fraud risks have also become prevalent, with deepfakes topping the charts.
- Compliance risks: Compliance risks surface when banks fail to adhere to regulations. Failing to comply potentially leads to fines, legal action, or reputational harm. Evolving regulations such as anti-money laundering (AML) and Know Your Customer (KYC) requirements can be complex. Non-compliance can be unintentional (lack of awareness) or deliberate (willful negligence).
- Market risks: Market risks stem from external economic and market-driven factors that can influence a bank’s earnings and capital. Fluctuating interest rates, currency exchange rates, stock market volatility, and shifts in commodity prices can all impact the value of the bank’s investments and trading portfolios.
- Operations risks: Operations risks arise from failures in internal processes and systems, which can lead to disruptions or financial losses. A few common examples are cyberattacks, system breakdowns, errors in transaction processing, and staff turnover – all of which can potentially trigger operational hiccups.
- Liquidity risks: Liquidity risks occur when a bank cannot meet its short-term financial obligations without incurring significant losses or costs. A sudden surge in withdrawals or a market-wide credit crunch can strain a bank’s cash reserves.
Challenges in Managing Banking Risks
Financial institutions are naturally exposed to risks, as they must deal with assets, liabilities, and evolving fraud tactics. The risk spectrum in itself is complex, so challenges in risk management are an inevitability.
- Changes in Regulations: Regulations are in constant flux, with new bills being introduced and amendments being made to the existing ones. Banks must keep up with these mandates to avoid actions from regulators. Continuous regulatory changes also contribute to uncertainty in long-term planning.
- Technological Advancements: The banking sector's digital transformation has nearly matured, with AI-driven solutions driving the next generation of advancements. Innovation vs. risk aversion is one of the biggest bottlenecks in one of the most regulated sectors.
- Data Management (Customer & Transactional): Banks collect sensitive customer and transactional data. Managing and securing it poses significant challenges. Data governance, especially when large datasets are involved, can be complex, and if you couple this with compliance with the regulations, risks figuratively quadruple.
- Customer Expectations: Customers expect frictionless experiences, and it begins from the point of onboarding. If the onboarding experience is not seamless, customers can abandon it altogether. This extends to instant loan approvals and other quick services. This implies loosening the grip on risk controls and authentication measures, which are a big obstacle for banking institutions.
Implementing Risk Management in Banking
There are six components that make up the risk management process. These components allow banking institutions to execute a broader organizational strategy.
- Risk Identification: This is the first step in the risk management cycle, wherein the potential risk is pinpointed. It could stem from credit, operations, cyber threats, interest rate changes, and even areas such as new partnerships.
- Gather insights from internal audits, frontline staff, industry reports, regulatory updates, and other relevant sources.
- Watch for red flags, like late payments or sudden changes in transaction patterns, to detect risks before they escalate.
- Assessment & Analysis: Once risks are identified, they must be evaluated. We must understand their impact on the financial institution, whether across operations or compliance obligations.
- To build a complete picture, assess quantitative (potential loss amounts, frequency, etc) and qualitative (reputational damage, customer confidence, etc.) factors.
- Model how various internal or external changes (such as interest rate hikes or regulatory shifts) might amplify risks.
- Mitigation: Implementing strategies and controls to reduce the likelihood or impact of identified risks are included in this component. The mitigation strategies can range from diversifying loan portfolios to using AI-based fraud detection systems.
- Establish or update internal policies (e.g., lending guidelines and cybersecurity protocols) to curb exposure.
- Utilize tools like transaction monitoring systems, real-time risk scoring models, and automated compliance checks.
- Monitoring: Continuous monitoring ensures that risk mitigation measures remain effective and new or evolving risks are promptly detected.
- Track non-performing loan ratios, liquidity coverage ratios, or transaction anomalies to detect brewing issues.
- Set predefined triggers—such as a surge in unauthorized transactions—that signal the need for immediate review.
- Cooperation: Effective risk management demands collaboration across all departments, from compliance to IT and frontline sales teams.
- Involve stakeholders from different specialties and maintain centralized dashboards that offer real-time risk updates accessible by relevant teams.
- Engage in external cooperation with peer banks, industry associations, and regulatory bodies to stay current on best practices and emerging threats.
- Reporting: Clear, consistent reporting provides transparency and accountability, ensuring that the right stakeholders stay informed and can act swiftly.
- Provide executive teams with regular updates on key risks, mitigation progress, and strategic considerations.
- Submit required disclosures to regulators—such as annual risk reports or stress test results—on time and in compliance with relevant standards.
Future of Banking Risk Management
Considering the 2008 financial crisis as a yardstick, how banks manage risks has changed dramatically. The standards for financial and non-financial risks tightened. Stress testing became an important supervisory tool, along with an assessment of a bank’s risk appetite. If there were so many changes, it is only fair to assume that the next decade will not undergo so many changes – that risk functions will not change. If that is the assumption you hold, you may be wrong. Financial crises and technological changes may disrupt risk management.
We expect regulatory frameworks to broaden and deepen for stricter compliance. Fair treatment of customers and ethical conduct are some of the areas that will require higher standards of compliance. Digital-savvy customers will require seamless, real-time, and personalized experiences. Technologies that are changing customer expectations coupled with advanced algorithms and AI models will also aid with risk-management techniques. We can also expect better risk decisions using analytical tools providing fact-based inputs.
The next generation of risk functions will require strategic planning and operational processes. It will compel a financial institution to become a center for innovation, supporting both regulatory compliance and customer experiences.
Conclusion
In conclusion, risk management in banking has transitioned from mitigating traditional risks, like credit or operational failures, to a discipline that must keep up with regulatory changes, emerging threats like AI-driven fraud, and customer expectations. The financial sector continues to get more complex, demanding risk management practices to innovate and grow. The future demands leveraging advanced analytics, AI, and real-time monitoring to make smarter, de-biased decisions.
Arya.ai offers solutions that help financial institutions manage risks more comprehensively and achieve efficiency with automation. Our Intelligent Document Processing solution aids in managing the entire document lifecycle to ensure no tampered or forged documents make it through the system. Cash flow forecasting systems assist in managing liquidity concerns. In addition, AI onboarding ensures that only verified customers are onboarded, minimizing the chances of identity fraud and AI-driven fraud like deepfakes.
Contact Arya.ai to learn how it can help you manage risks as a banking institution.