ABOUT

This Training Programme has been specifically designed to provide attendees with highly cutting-edge knowledge across a broad array of Artificial Intelligence (AI) areas covering banking and finance frameworks today. The Training Programme will provide attendees with knowledge and instruction across a range of AI theoretical constructs, as well as strong coverage of the latest AI trends and developments that exist around the world. Through a specialised mixture of selected AI use cases and case studies, attendees will be able to comprehensively understand how AI represents the future model for banking and finance firms. The Training Programme will cover areas that are ripe for development of AI technologies such as trading, data reporting, personalised banking, credit scoring, fraud detection, prudential regulation, and Anti-Money Laundering (AML) and Counter-the-Financing of Terrorism (CFT) frameworks. The Training Programme draws upon a range of diverse areas in order to distil the latest AI developments in a logical and easy-to-understand framework for the attendees. Firms will be able to truly understand how AI automation will offer, not only streamlined operations and significant cost savings, but also significant competitive advantage.

TRAINING PROGRAMME

SESSION 1: An Introduction to Artificial Intelligence (AI) in Banking and Finance

·     Artificial Intelligence (AI); Machine Learning; Big Data; Big Data Analytics; Cognitive Analytics; Natural Language Processing (NLP); Neural Networks; Bayesian Networks; Internet of Things (IoT).

·     Machine Learning Algorithms; Supervised Learning; Unsupervised Learning; Reinforcement Learning; Deep Learning.

·     Global AI Trends and Developments; AI in Banking and Finance Today; AI and Next Generation Customer Services; AI, Big Data Analytics, and Next Generation Customer Data Analysis; Banking and Finance New Industry Partnerships.

SESSION 2: Selected Artificial Intelligence Use Cases

·     AI and Best Execution of Trades (Transaction Cost Analysis; Best Execution and the Revised Markets in Financial Instruments Directive (MiFIDII)); AI and Data Reporting (Automated Reporting; Data Push Approach; Data Pull Approach); AI and Prudential Regulation (Microprudential Supervision; Macroprudential Supervision).

·     AI and Personalised Banking; AI and Next Generation Robo Advisors; AI and Quantitative Trading; AI and Sentiment Indicators; AI and Trading Signals; Credit Scoring and Credit Decisions; Cyber Security.

·     AI and Market Abuse and Insider Trading (NASDAQ and Sybenetix Software Solutions); AML, CFT, and Fraud Detection (The Problems with Legacy Technology Approaches; AML and CFT AI Applications).

SESSION 3: Selected Artificial Intelligence Case Studies

·     AI and Fraud Detection; Fraud Detection Case Study (Visallo); AI and AML; AI and AML Case Study (AYASDI); AI and Risk Management; Risk Management Case Study (Crest Financial).

·     AI and Trading; AI and Trading Case Study (Alpaca AI Prediction Matrix); AI and Chat Bots; Chat Bot Case Study (Bank of America Erica); Chat Bot Case Study (MasterCard Kai).

·     AI and RPA; AI and RPA Case Study (JPMorgan Chase COiN); AI and Credit Scoring; AI and Credit Scoring Case Study (ZestFinance).

SESSION 4: Selected Future Artificial Intelligence Applications

·     AI and Enhanced Services under the Revised Payment Services Directive (PSD2) (Aggregator Portals; Enhanced Customer Services; AI and Next Generation Intelligent Deposit and Recycling Automated Teller Machines (ATMs); AI and Real Time Customer Services).

·     AI and Digitalised Stress Testing; Managing and Producing Vigorous Stress Scenarios (Base; Adverse; Severely Adverse); Stress Test Reports; More Precise Sensitivity Analysis; Finding Failure Events with Reinforcement Learning (Lee et al., 2018).

·     AI and Supervisory Technologies (SupTech) (Market Surveillance; Misconduct Analysis; Microprudential Supervision; Macroprudential Supervision); SupTech and AI Case Study (Australian Securities and Investments Commission, Big Data Analysis, Machine Learning Algorithms).

EXPERT TRAINER

Rodrigo Zepeda is Co-Founder and Managing Director of Storm-7 Consulting. He is an expert consultant who specialises in derivatives and banking and financial services law, regulation, and compliance. He is an expert in a very broad range of regulatory compliance frameworks such as FATCA, the OECD CRS, MiFID II, MAD 2 MAR, PSD2, CRD IV, Solvency II, OTC Derivatives, CCP Clearing, PRIIPs, BRRD, AML4, and the GDPR. He holds a LLB degree, a LLM Masters degree in International and Comparative Business Law, and has passed the New York Bar Examination. He was an Associate (ACSI) of the Chartered Institute for Securities & Investment from 2004 to 2014 and is now a Chartered Member (MCSI). He has created and delivered numerous conferences and training courses around the world such as ‘FATCA for Latin American Firms’ (Santo Domingo, Dominican Republic, Panama City, Panama), ‘MiFID II: Regulatory, Risk, and Compliance (London), and ‘Market Abuse: Operational Compliance’ (London), ‘AEOI (FATCA & CRS)’ (London, Lebanon, Dubai, Malta, Manama, Bahrain); AML/CFT: Operational Compliance (Dubai, London); MLRO: Operational Compliance (London).

He has also delivered numerous In-House Training Courses around the world to major international financial institutions such as The Abu Dhabi Investment Authority (MiFID II: Operational Compliance, Abu Dhabi, the United Arab Emirates); the United Nations Principles of Responsible Investment (MiFID II: Final Review, London); CAF, the Development Bank of Latin America (Swaps and Over-the-counter Derivatives, Lima, Peru); Eurex Exchange (CCP Clearing, Risk Management, Recovery and Resolution, Eschborn, Germany); European Energy Exchange AG (CCP Clearing, Risk Management, Recovery and Resolution, Leipzig, Germany); Rothschild Investment Management (UK) Limited (AEOI (FATCA & CRS), London); Resolution Life (AEOI (FATCA & CRS, London); CCP Clearing, Risk Management, Recovery and Resolution; Bethmann Bank AG (MAD 2 MAR, Frankfurt); Saxo Capital Markets (MAD 2 MAR, London); and Invesco Management, S.A. (AML/CFT, Henley); Validus Risk Management (OTC Derivatives, Eton).

For 2019 he has created some of the most cutting edge training courses available on the market today, including Artificial Intelligence in Banking and Financial Services; Supervisory Technologies (SupTech); The European Margin Rules; The 2018-2020 Collateral Paradigm; AML & CFT Advanced Practitioner; Virtual Currencies, AML, CFT: Operational Compliance; and Behavioural Persuasion Masterclass. He is a Reviewer for the Journal of Financial Regulation and Compliance and has also published widely in leading industry journals such as the Capco Institute’s Journal of Financial Transformation, the Journal of International Banking Law and Regulation, as well as e-books on derivatives law. Noted publications include “Optimizing Risk Allocation for CCPs under the European Market Infrastructure Regulation”; “The ISDA Master Agreement 2012: A Missed Opportunity”; “The ISDA Master Agreement: The Derivatives Risk Management Tool of the 21st Century?”; “To EU, or not to EU: that is the AIFMD question”; and “The Industrialization Blueprint: Re- Engineering the Future of Banking and Financial Services?”.

Disclaimer

ISDA® is a registered trademark of the International Swaps and Derivatives Association, Inc., and Storm-7 Consulting Limited is neither sponsored by nor affiliated with the International Swaps and Derivatives Association, Inc. (ISDA), and the public is hereby informed that Storm-7 Consulting Limited holds no commercial, private, or other relationship with ISDA.