Unlocking AI for financial risk management

Chris Preuss is a Senior Quantitative Analyst and Data Scientist specializing in finance and risk management. Currently, he serves as the Principal Data Scientist at Calvin Risk, where he employs his expertise in AI Model Risk Management. Chris holds a MSc in Finance from IE Business School.

Ms. Karen Wong is a Partner in the Consulting practice of PwC Hong Kong. She has over 15 years of experience in professional services, providing a full range of strategy and risk management consulting services for banks and financial institutions in Hong Kong, mainland China and Asia Pacific. Karen possesses extensive experience in strategic planning, risk & capital management, business operations, data analytics & AI modelling and finance transformation.

Prior to joining PwC, Karen worked on a range of business analytics and sales management projects focusing on predictive modelling, customer experience, marketing campaign management and liquidity control. Karen is often invited to deliver speeches on evolving risk & regulatory topics, and was the editorial panel for the regulatory publications in relation to Banking with AI.

Karen holds a Master degree from the Chinese University of Hong Kong in Risk Management Science and a Bachelor degree from the Hong Kong University of Science and Technology in Finance and Information Systems. She is a Chartered Financial Analyst (CFA) and Certified Financial Risk Manager (FRM).

Carl Chan is a director at Accuracy. He specialises in financial risk management (both quantitative modelling and regulatory compliance for credit risk, market risk, counterparty credit risk, liquidity risk, operational risk, and ESG climate risk), portfolio analysis (banking book and trading book), and adoption of system solutions for these areas. He has delivered over 100 engagements for banks, security firms, insurance companies, asset managers, pension funds and government bodies.

Carl has worked with professionals including product specialists, researchers, system developers and practice leaders to deliver projects.

Paul Chammas is a seasoned Technology Risk & Cybersecurity consultant, auditor, and trainer, with over 14 years of experience dedicated to financial services. In 2021, he co-founded Quantum Risk Advisory (QuRISK), a startup specialized in risk management for emerging technologies, particularly focusing on Artificial Intelligence and Quantum Technologies.

With an Engineering degree in Telecommunications from EFREI Paris, a Masters in Technology Management from HEC Paris, and a Masters in Quantum Technologies from UPM Spain, Paul seamlessly blends technical expertise with strategic insight. His unwavering commitment is focused on providing organizations with the appropriate methodological tools to safely adopt cutting-edge technologies.