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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.
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.
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 assess cyber threat exposure, evaluate cybersecurity control frameworks, interpret vulnerability and penetration testing reports, strengthen third-party cyber oversight, and design structured incident response and recovery plans. They will improve risk-based decision-making related to digital security investments and regulatory preparedness.
Participants will be able to redesign compliance operating models, implement automated monitoring and reporting controls, evaluate surveillance systems, structure risk dashboards, and strengthen regulatory inspection preparedness. They will enhance decision-making in control governance, escalation management, and technology-enabled compliance oversight.
Participants will be able to construct and interpret financial risk models, evaluate model assumptions, apply statistical techniques for risk estimation, conduct stress testing, and support capital and risk reporting decisions using structured analytics frameworks.
Participants will be able to apply AI-driven tools and frameworks for integrating sustainability (ESG) into risk management processes within BFSI. Gain practical understanding of ESG risk assessment, AI-enabled risk analytics, and regulatory compliance while ensuring responsible AI adoption aligned with business and sustainability objectives.