Emerging Risks in Banking Training Course
Emerging Risks in Banking Training Course provides participants with a strategic understanding of the latest global banking risks, regulatory developments, digital transformation challenges, and innovative risk mitigation strategies.
Course Overview
Emerging Risks in Banking Training Course
Introduction
The banking industry is undergoing a rapid transformation driven by digital disruption, artificial intelligence (AI), cybersecurity threats, fintech innovation, climate risk, regulatory technology (RegTech), ESG compliance, and evolving customer expectations. This comprehensive training course equips banking professionals with the knowledge and practical tools needed to strengthen enterprise-wide risk management and build resilient banking operations.
Emerging Risks in Banking Training Course provides participants with a strategic understanding of the latest global banking risks, regulatory developments, digital transformation challenges, and innovative risk mitigation strategies. The course integrates current global trends including AI governance, cloud security, digital banking risk, ESG risk management, Basel III reforms, climate stress testing, data privacy, and financial crime prevention, enabling organizations to build future-ready risk management capabilities.
Course Duration
5 days
Course Objectives
By the end of this training, participants will be able to:
- Understand the latest emerging banking risks affecting global financial institutions.
- Identify cybersecurity threats, ransomware, phishing, and digital fraud risks.
- Apply Enterprise Risk Management (ERM) frameworks aligned with international standards.
- Strengthen Operational Resilience and Business Continuity Planning (BCP).
- Manage Artificial Intelligence (AI) and Machine Learning risks within banking operations.
- Evaluate Climate Risk, ESG Risk, and Sustainable Finance impacts on banking.
- Enhance AML, KYC, Financial Crime, and Fraud Risk Management practices.
- Understand Basel III, Regulatory Compliance, and Prudential Risk requirements.
- Assess Third-Party, Vendor, and Cloud Computing Risks effectively.
- Utilize Data Analytics and Predictive Risk Intelligence for proactive decision-making.
- Improve Digital Banking Governance and FinTech Risk Management.
- Develop comprehensive Crisis Management and Incident Response strategies.
- Build an integrated Future-Ready Risk Management Framework for banking institutions.
Target Audience
- Chief Risk Officers (CROs)
- Risk Managers and Risk Analysts
- Compliance Officers
- Internal and External Auditors
- Banking Operations Managers
- Cybersecurity and Information Security Professionals
- Financial Regulators and Supervisors
- Senior Executives, Board Members, and Banking Consultants
Course Modules
Module 1: Emerging Risk Landscape in Banking
- Global banking risk trends and future outlook
- Digital transformation and emerging financial risks
- Regulatory changes impacting banks
- Enterprise Risk Management (ERM) fundamentals
- Risk appetite and governance frameworks
- Case Study: Analysis of the 2023 U.S. regional banking crisis and lessons for risk governance.
Module 2: Cybersecurity and Digital Banking Risks
- Cyber threats targeting financial institutions
- Ransomware, phishing, and malware attacks
- Digital payment fraud prevention
- Cloud security and digital infrastructure risks
- Cyber resilience and incident response
- Case Study: Cyberattack on a global financial institution and its operational recovery strategy.
Module 3: Financial Crime, AML and Fraud Risk
- Anti-Money Laundering (AML) frameworks
- Know Your Customer (KYC) best practices
- Fraud detection using AI and analytics
- Sanctions screening and compliance
- Insider fraud and financial crime prevention
- Case Study: Large-scale AML compliance failures and regulatory enforcement actions.
Module 4: Operational Resilience and Third-Party Risk
- Operational resilience principles
- Business continuity management
- Third-party and vendor risk assessment
- Outsourcing and cloud service risks
- Crisis management frameworks
- Case Study: Managing operational disruption following a major technology outage.
Module 5: Artificial Intelligence, Data Analytics and Technology Risk
- AI governance and ethical AI
- Machine learning risks in banking
- Model risk management
- Big data analytics for risk intelligence
- Data privacy and information governance
- Case Study: AI-driven credit scoring bias and governance improvements.
Module 6: Climate Risk, ESG and Sustainable Banking
- Climate-related financial risks
- ESG regulations and reporting
- Sustainable finance principles
- Climate stress testing methodologies
- Green finance opportunities
- Case Study: Climate stress testing implementation within an international banking group.
Module 7: Regulatory Compliance and Basel Framework
- Basel III and Basel IV developments
- Capital adequacy requirements
- Liquidity risk management
- Regulatory reporting requirements
- Governance, Risk and Compliance (GRC)
- Case Study: Improving capital resilience through Basel implementation initiatives.
Module 8: Future Banking Risk Strategy
- Building an integrated risk culture
- Emerging technologies and future banking
- Predictive risk management
- Strategic risk leadership
- Developing a future-ready banking risk roadmap
- Case Study: Enterprise-wide transformation of risk management within a leading international bank.
Training Methodology
- Interactive lectures and presentations.
- Group discussions and brainstorming sessions.
- Hands-on exercises using real-world datasets.
- Role-playing and scenario-based simulations.
- Analysis of case studies to bridge theory and practice.
- Peer-to-peer learning and networking.
- Expert-led Q&A sessions.
- Continuous feedback and personalized guidance.
Register as a group from 3 participants for a Discount
Send us an email: info@datastatresearch.org or call +254724527104
Certification
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.