Training Objectives

This course will enable financial services professionals to quickly identify digital transformation opportunities whilst at the same time offer a comprehensive understanding of the most pressing regulatory concerns.

Training Outline

• AI systems, ML and the use of big data

• AI/ML, big data in finance:

– Benefits and impact on business models/activities of financial sector participants
– Portfolio allocation in asset management and the broader investment community (but-side)
– Algorithmic Trading
– Credit intermediation and assessment of creditworthiness
– Integration of AI in Blockchain-based financial products

• Emerging risks from the use of AI/ML/Big data and possible risk mitigation tools

– Data management
– Data concentration and competition in AI-enabled financial services/products
– Risk of bias and discrimination
– Explainability
– Robustness and resilience of AI models: training and testing performance
– Governance of AI systems and accountability
– Regulatory considerations, fragmentation and potential incompatibility with existing regulatory requirements
– Employment risks and the question of skills

• Policy responses and implications:

– Recent policy activity around AI and finance
– Policy considerations

• AI and machine learning in regulatory compliance and supervision

– RegTech: applications by financial institutions for regulatory compliance
– Uses for macroprudential surveillance and data quality assurance
– SupTech: uses and potential uses by central banks and prudential authorities
– Uses by market regulators for surveillance and fraud detection

Who Should Attend

This course is suitable for several roles within financial services. It is particularly beneficial for financial services executives in the following areas:

• AMLCO/Money Laundering Reporting Officers (MLRO)
• AML/KYC Analysts and Associates
• Compliance Monitoring and Operations Analysts
• Fraud Analysts and Associates
• Trading
• Sales professionals
• Front and Back Office professionals
• Legal professionals
• FinTech Associates
• Financial Risk and Strategy Professionals
• Regulators
• Small start-ups, with staff in hybrid roles that include AML tasks
• Mid-sized FinTech transitioning to a more structured AML program
• Large FinTechs with dedicated complaince terms
• Anyone interested in FinTech, Banking, RegTech and SupTech, Digital Payments, and Financial Technology

Training Style

The programme is designed to deliver knowledge and enhance participants’ skills via short lectures, case studies, and practical examples. Participants will take away knowledge to be transferred to their workplace. Most of the training’s time will be invested in analysing a real-like case study. 

CPD Recognition

This programme may be approved for up to 6 CPD units in FinTech and Financial Regulation. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership.

For the CySEC requirements, CPD units attained from this course should not exceed the 50% of the total CPD Units of each individual.

In-house Training

For groups within the same organisation, this course may be customized to meet any specific needs and delivered in-house.