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Data Analytics and Automation for Operations in Banking Financial Services and Insurance
Participants will develop the ability to analyze operational and transactional data, apply automation tools to streamline processes, and design data-driven workflows in financial services environments. They will learn how to transform raw financial data into actionable insights that improve operational efficiency, risk monitoring, and service performance.
Go beyond concepts. Access real-world AI use cases across industries — understand what worked, what didn’t, and what it actually takes to implement.
Participants will develop the ability to design structured prompts for financial analysis, regulatory interpretation, and strategic planning. They will learn how to use generative AI tools to synthesize complex financial information, generate analytical insights, and support leadership decision-making while ensuring responsible and compliant AI usage.
Develop the ability to effectively sell BFSI products by understanding customer needs, applying structured sales techniques, and leveraging digital tools to improve engagement, conversion rates, and overall sales performance.
Go beyond concepts. Access real-world AI use cases across industries — understand what worked, what didn’t, and what it actually takes to implement.
Go beyond concepts. Access real-world AI use cases across industries — understand what worked, what didn’t, and what it actually takes to implement.
Participants will be able to conduct Business Impact Analysis (BIA), define Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO), design continuity strategies, establish crisis management governance structures, implement testing and simulation frameworks, maintain documentation for certification audits, and strengthen enterprise resilience across critical functions.
Enterprise Risk Management in Action: From Frameworks to Culture in Banking and Financial Services
Participants will be able to design and operationalize ERM frameworks, align risk appetite with business strategy, implement risk governance structures, develop Key Risk Indicators (KRIs), strengthen board reporting mechanisms, and foster a proactive risk culture across the organization. They will gain the capability to integrate strategic, financial, operational, compliance, and reputational risks into a unified risk management system.
Participants will be able to conduct bribery risk assessments, design anti-bribery policies and procedures, implement due diligence frameworks for third parties, establish financial and non-financial controls, manage investigation protocols, and prepare documentation for ISO 37001 audits. They will enhance ethical governance, regulatory preparedness, and control effectiveness within financial institutions.
Participants will be able to implement ISO 37002-aligned whistleblowing systems, establish secure reporting channels, design case intake and investigation workflows, ensure confidentiality and non-retaliation safeguards, manage documentation standards, integrate reporting dashboards, and strengthen board-level oversight of ethical risk.
Participants will be able to design outsourcing governance structures, align outsourcing policies with regulatory requirements, conduct compliance-focused due diligence, draft risk-sensitive contractual clauses, implement monitoring dashboards, manage regulatory reporting, and establish structured oversight mechanisms. They will enhance regulatory preparedness and reduce compliance gaps in outsourced operations.
Participants will be able to conduct third-party risk assessments, classify vendor criticality, design compliance-based due diligence frameworks, draft risk-sensitive contract clauses, implement performance monitoring systems, manage concentration risk, and build escalation and exit strategies. They will strengthen oversight across the third-party life cycle from onboarding to termination.
Participants will be able to design fraud risk assessment frameworks, identify red flags across banking products, implement transaction monitoring systems, conduct structured fraud investigations, quantify fraud exposure, and establish preventive governance controls. They will enhance early detection capability, improve case resolution efficiency, and reduce fraud-related losses.
Participants will be able to design Early Warning Indicator frameworks, define threshold-based triggers, integrate financial and behavioral risk signals, build portfolio monitoring dashboards, and implement structured escalation and intervention processes. They will strengthen proactive decision-making in credit risk, liquidity monitoring, and operational risk oversight.
Operational Risk Management Tools and Techniques for Risk in Banking and Financial Services
Participants will be able to conduct Risk and Control Self-Assessments, develop Key Risk Indicators, perform scenario analysis, quantify operational loss exposure, evaluate control effectiveness, and strengthen reporting to senior management. They will improve structured decision-making in risk prioritization, control design, and regulatory preparedness.