Agenda

Agenda

AI and Risk Management - Agenda

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Live virtual course | Agenda timing is in GMT

Respective time in EST:
Start: 9am
Break: 10am
Finish: 11.15am
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14:0015:00

Understanding AI in finance

14:00 - 15:00

  • What is AI?

  • Typical use cases in finance:

    • Credit risk

    • Fraud/AML

    • Compliance and regulation

  • Managing and understanding the risks of AI

  • Responsible AI practices 

Dr Djamila Amimer

CEO/founder

Mind Senses Global

Dr Djamila Amimer founded Mind Senses Global to help businesses and organisations apply Artificial Intelligence. She is an experienced business leader and an entrepreneur with a broad range of experiences across AI, machine learning, commercial deals, business strategy, energy, supply chain, shipping & trading, business resilience and climate change.

Djamila has a PhD in AI and Economics and has developed frameworks and novel AI techniques in the area of investment decisions, dealing with uncertainty in project evaluation. She has a track record in leading teams, delivering results and focusing on performance. In addition to helping organisations unlock AI potential, she spends significant amount of her time exploring the next wave of AI. Djamila is passionate about AI for good and would like to make AI accessible to everyone.

15:0015:15

Break

15:00 - 15:15

15:1516:15

AI, regulation and explainability

15:15 - 16:15

  • Understanding the black box of AI

  • The requirement of explainable models from a regulatory perspective 

  • Approaches to satisfy explainability and interpretability

  • Regulatory reporting and ensuring compliance

  • The ongoing development of the regulatory landscape

Miquel Noguer Alonso

Co-founder

Artificial Intelligence Finance Institute

Miquel is a co-founder at Artificial Intelligence Finance Institute. He is a financial markets practitioner with more than 20 years of experience in asset management. Additionally to his role at AIFI, he is currently Head of Development at Global AI (Big Data Artificial Intelligence in Finance company) and Head on Innovation and Technology at IEF.

He worked for UBS AG (Switzerland) as Executive Director for the last 10 years and previously worked as a Chief Investment Officer and CIO for Andbank from 2000 to 2006.

He is a professor of Big Data in Finance at ESADE and Adjunct Professor at Columbia University teaching Asset Allocation, Big Data in Finance and Fintech. He received an MBA and a Degree in business administration and economics in ESADE (1993).

In 2010 he earned a PhD in quantitative finance with a Summa Cum Laude distinction (UNED – Madrid Spain).

16:1516:15

End of day one

16:15 - 16:16

14:0015:00

Preparing data for AI/ ML

14:00 - 15:00

  • Identifying suitable data types and sources

  • Developing appropriate data foundations for AI

  • Typical challenges when managing data

    • Data quantity, quality, and frequency 

    • Class imbalance 

    • Underfitting and overfitting 

    • Ethics

  • Using alternative data

Katherine Taylor

AI Specialist

SAS

Katherine Taylor is a quantitative analyst who specializes in machine learning applied to risk management. Katherine researches and implements machine learning models that improve traditional risk measurement and risk management. To help advance AI in financial services, Katherine is also active in the fields of AI model interpretability, model fairness, and model governance. Katherine holds degrees in economics, political science, and financial mathematics.

15:0015:15

Break

15:00 - 15:15

15:1516:15

Model risk management for AI

15:15 - 16:15

  • Implication of artificial intelligence on MRM

  • Applying traditional model risk management frameworks to AI applications

  • Model risk governance across the AI model lifecycle

  • Complexity of models and risk awareness

  • Validation processes for AI models

Sjoerd Kampen

Director

Deloitte

Sjoerd works in the Financial Risk team of Deloitte, with over 10 years of experience in the financial sector. He has worked on numerous assignments in the areas of model risk management, model development and validation within the financial services industry, including banks, insurers and investment managers.

His focus is on the development of model risk management frameworks, model risk management tooling and on the model development and validation of regulatory and non-regulatory market risk models.

Ozgur Cetiner

Senior manager

Deloitte

Ozgur works in the Financial Risk team of Deloitte, with over 20 years of experience in the financial sector. He has worked on numerous engagements in the areas of direct marketing, customer segmentation, credit risk management and credit life cycle optimization for large financial institutions in North America and Western Europe. His focus is on the application of advanced algorithms for decision making in risk management and the development of model risk management frameworks for them.

Sebastiaan Berendsen

Consultant

Deloitte

Sebastiaan is a member of the Financial Risk team and the Risk AI Expert Group of Deloitte. His focus is on the risks originating from the use of AI and incorporating this in model risk management frameworks. He has supported various organizations with integrating the aspects of AI in their model risk management framework. He specializes in the field of explainable AI and algorithmic transparency where he integrates these two aspects in AI model development, validation and use.

16:1516:15

End of day two

16:15 - 16:16

14:0015:00

AI ethics and conduct

14:00 - 15:00

  • Challenges of algorithmic and AI fairness in financial services

  • Possible introduction of bias throughout model development lifecycle

  • Key ethics indicators and calculating trade-offs between objectives

  • Effects of unethical AI models 

    • Reputation

    • Conduct 

  • Mitigating risk through clear practices and safeguards

Janet Adams

AI risk expert

formally TSB Business Banking

Janet Adams is a disruptive tech advocate with 20 years experience in Banking Risk and Technology, previously working at TSB Business Banking as Head of Strategic Projects & Performance. With previous experience gained in commercial and investment banking sectors at HSBC, RBS, and Barclays, Janet has recently completed a MSc in Artificial Intelligence at the University of Essex where she developed a path breaking dissertation on Explainability and Accountability of AI for global banking regulatory compliance, fair customer outcomes and market stability, in which she investigated and assessed different algorithmic approaches for 9 AI banking use cases across retail and wholesale sectors. Janet’s blend of technology, risk, conduct and AI gives her a unique perspective on the ethics of Artificial Intelligence in Banking, and she is committed to the principles of inclusivity and benefit for all through the AI revolution.

15:0015:15

Break

15:00 - 15:15

15:1516:15

AI and operational risk

14:00 - 15:00

  • NLP in incident categorisation  

  • Building risk taxonomies for risk libraries

  • The impact of digitisation

  • Managing potential operational risks of AI

  • AI for operational loss predictions

16:1516:15

End of day three

16:15 - 16:16

14:0015:00

AI implementation roadmap

14:00 - 15:00

  • Matching the use case to the process and scaling across

  • Identifying skill shortages

  • Creating a holistic AI strategy and embedding it in your risk culture

  • Ensuring transparency and accountability at each stage

  • Creating a culture that supports AI adoption and implementation

15:0015:15

Break

15:00 - 15:15

15:1516:15

Forward looking trends for AI

15:15 - 16:15

  • How AI is changing the face of traditional banking

  • Future trends for AI in financial services

    • Cryptocurrency

    • Green investment

    • Decentralised finance and outside competition

  • Challenges for banks transforming to become AI leading focused

  • Identifying priorities for AI moving forward

  • Encouraging AI innovation within your business

16:1516:15

End of course

16:15 - 16:16