Operational Risk Management in Finance 17745 Course Overview This comprehensive course strengthens participants’ understanding of methodologies and best practices for improving operational risk management in financial institutions. It places particular emphasis on operational losses, compliance, enterprise-wide surveillance, cyber risk, fraud, anti-money laundering (AML), governance, and risk culture. The programme is designed to help participants identify operational vulnerabilities, enhance internal controls, develop effective Key Risk Indicators (KRIs), and integrate emerging technologies into risk management frameworks while maintaining regulatory compliance and organisational resilience. Course Objectives By the end of this course, participants will be able to: Analyse the range of circumstances that can contribute to substantial operational losses. Develop and design Key Risk Indicators (KRIs) for effective monitoring of operational risk. Apply a range of techniques to mitigate losses resulting from operational failures. Assess the impact of corporate culture in promoting best practices in operational risk management. Integrate digitisation, FinTech, and blockchain into banking systems and procedures while considering their disruptive influence on traditional business models. Evaluate and apply root cause analysis methodologies to diagnose and mitigate potential operational failures. Target Audience This course is suitable for: Professionals interested in operational risk modelling and compliance in financial institutions Banking personnel working in operational risk Asset allocators and portfolio strategists Risk managers and risk controllers Senior back-office personnel Course Outline 1. Overview of Key Operational Risk Issues The impact of operational risk on the organisation Regulatory focus on misconduct by management and employees Systems of accountability, responsibilities, safety thresholds, alerts, disciplinary guidelines, and sanctions for violations Implementing an organisational structure for operational risk oversight Estimating the probability of adverse outcomes and business loss Determining the direct and indirect effects of adverse outcomes Separation of the risk compliance function from profit and loss targets Cyber risks, including: Internal vulnerabilities Software system integrity Third-party risk Outsourcing Cloud computing Phishing 2. Adverse Consequences from Operational Failures Reputational risk Legal risk Litigation risk, fines, and class action lawsuits Rogue trading cases, including: Société Générale UBS Ineffective back-office controls Avoiding overly complex financial instruments 3. Root Cause Analysis Identifying underlying causes of operational failures Forensic and systematic analysis of large-scale failures and near-failures Data mining approaches and timeline sequencing Moving from a reactive to a proactive approach in operational risk management Prioritising among multiple root causes Process mapping Establishing relevant metrics for each root cause Ensuring that action plans mitigate symptoms arising from root causes 4. Addressing Cyber Risks and Vulnerabilities in Business Processes Core concepts in enterprise software architecture, with emphasis on systems integration and security Principal internal and external sources of cyber risk Risks associated with introducing new business systems Risks associated with launching new products Opportunities and challenges presented by disruptive technologies: Blockchain Artificial Intelligence (AI) Big Data analytics Machine learning The cultural divide between IT staff and senior management Business Process Re-engineering (BPR) Distinguishing between prevention and negative-outcome management Cloud computing and outsourcing, including Amazon Web Services Change management and implementation of privacy requirements such as GDPR 5. Methodologies for Measuring and Modelling Operational Risks Loss modelling methods and contingency scenarios Templates for collecting loss data Scenario-Based Analysis (SBA) for filling gaps in data The role of Business Environment and Internal Control Factors (BEICFs) Scarcity of historical data in operational loss outliers Different distributions for modelling loss severity Monte Carlo-based loss scenarios Stress-testing methodologies Data limitations in quantifying operational risk Segregating internal versus external software failures 6. Risk Control Self-Assessment (RCSA) Templates for collecting loss data Scenario-Based Analysis for addressing gaps in empirical data Questionnaires to identify potential risk areas and failure points Conducting an RCSA workshop: Role of facilitators Subject matter experts Back-office staff Internal reporting mechanisms, validation protocols, and iterations Developing and monitoring new KRIs Reporting protocols Role of Business Environment and Internal Control Factors (BEICFs) Developing scorecard-based risk assessment templates Discrete versus continuous data in modelling Poisson distribution for occurrences of operational losses Different distributions for modelling severity of losses Application of lognormal distribution 7. Overview of Scenario Generation for Stress Testing Generating and calibrating shocks and adverse scenarios Simulations using randomised market scenarios and risk factors Macro factors and associations with broad macroeconomic variables Expert judgement as a qualitative and forward-looking input Identification of key risk factors Associating probabilities with risk factors using quantitative and qualitative approaches Mapping qualitative and descriptive data to numerical values Identification of worst-case scenarios Addressing data deficiencies and estimating outlier scenarios 8. Fundamentals of Business Ethics Ethics as moral principles governing appropriate behaviour Distinguishing ethical issues from legal issues Business ethics and corporate social responsibility (CSR) The relationship between ethical conduct and social responsibility Responsibility to all stakeholders, not only shareholders Ensuring ethical conduct among directors, managers, and employees Codes of conduct and best practice Environmental policy and action Rules for personal and corporate integrity The corporation as a moral agent 9. Financial Crimes and Anti-Money Laundering Regulatory surveillance of the financial services sector Know Your Customer (KYC) and Anti-Money Laundering (AML) remediation International context for AML Counter-Terrorist Financing (CTF) Legal, regulatory, and supervisory AML/CTF frameworks Role of the Money Laundering Reporting Officer (MLRO) Transaction monitoring and filtering framework Suspicious activity reporting Senior management responsibility regarding AML/CTF Role of banking supervisors Sanctions provisions and blacklisted territories and individuals Tax avoidance and FATCA Consumer protection oversight by regulators such as: SEC FCA CFTC European Commission 10. Public Policy and the Role of Financial Regulators Balancing regulatory compliance with internal best practice Increasing focus on macro-prudential regulation and stress testing Role of political action groups and commercial lobbying Regulatory surveillance of the financial services sector Boundaries between financial crime and operational vulnerabilities Examining the robustness of procedures designed to prevent money laundering Case example: BNP Paribas fine relating to dealings with blacklisted jurisdictions Capital adequacy, Basel III, and the role of banking supervisors Miscellaneous risks arising from government and supranational actions 11. Basel Approaches for Operational Risk Basel Basic Indicator Approach (BIA) Standard Approach (SA) Basel III Advanced Measurement Approach (AMA) Scenario-Based Approach (SBA) Loss Distribution Approach (LDA) Business Environment and Internal Control Factors (BEICFs) Role of senior management in identifying adverse scenarios Distributions for occurrence and severity of losses Basel III business line and event type codes Process mapping to appropriate regulatory categories Templates for Basel data capture and internal reporting Role of external data and scaling across comparable institutions 12. The New Basel Standardised Approach for Operational Risk BCBS revisions to operational risk approaches Explanation of the Business Indicator metric Non-linear scaling of operational risk against total bank revenue Use of absolute values in estimating exposure to operational risk Review of the BCBS Operational Risk Capital-at-Risk model Internal Loss Multiplier and Loss Component 13. Enterprise Risk Management and Reporting Systems Enterprise-wide risk control environment Risk assessment process Credit policy and levels of authority for decision-making Monitoring and reporting mechanisms within banks Risk control systems Holistic risk management perspectives Avoiding silo-based risk management Monitoring controls Role of internal auditors Role of the Chief Risk Officer (CRO) 14. Best Practice in Enhancing Risk Culture Risk control systems Risk governance philosophy Ethical principles Codes of conduct Human resources involvement Ongoing professional development Diversity of perspectives Rewards and bonus structures
