Registration is full. If you have already registered, please log in or use the link from your registration confirmation email.
Edit
Dr. Jon Hill draws upon his extensive domain expertise to provide this pre-summit workshop covering the fundamentals of model risk management.
1654008965-9d8e5430568f4383
Jon Hill
Adjunct Professor of Model Risk Management at NYU Tandon School of Engineering
I am currently an adjunct professor of model risk management at NYU's Tandon School of Financial Risk Engineering where I teach a graduate level sequence in model risk governance and validation. I have also served part time as head of the New York Chapter of the Model Risk Managers International Association.

Previously,I was a Managing Director at Credit Suisse and Global Head of Model Risk Governance Standards, based in New York City. In this role my team and I held responsibility for building out the firms's global model governance framework, model risk management policies and procedures and model risk reporting and model inventory management. My teamalso performed full validations of Credit Suisse's medium risk models as well as annual risk and control assessments of all medium and low risk models.

A frequent speaker at professional seminar series on Model Risk Management and Validation sponsored by Marcus Evans or the Center for Financial Professionals (CFP). I often lead a two-day targeted masterclass on Model Risk Management, Governance and Validation sponsored by CFP in both New York City and London, as well as a one-day pre or post risk conference version.

My most recent publication, "Shouldn't A Model 'Know' Its Own ID?", appears in the Fall, 2018 edition of the Journal of Structured Finance, pp. 89-98.

Specialties: • Risk Analytics: VaR, stressed VaR, IRC, CRM, Sress-VaR, RNIVs, AMA operational risk, economic capital, stress and scenario testing, Monte Carlo simulation.
• Model Validation: documentation standards, validation experience across multiple asset classes including equities, FX, FI, and credit as well as market and operational risk models. Experienced in model validation team building.
• Programming: C/C++, VBA, Excel, SAS, S+, Mathematica, PV-WAVE. UNIX and MS Windows development environments.
• Passed FINRA Series 7 and Series 63 certification exams.
1648828628-601095d9d6204509
Joseph Breeden
Dr. Breeden has been designing and deploying risk management systems for loan portfolios since 1996. He founded Deep Future Analytics in 2011, which focuses on portfolio and loan-level forecasting solutions for pricing, account management, stress testing, and CECL; serving credit unions, banks, and finance companies. He is also the owner of auctionforecast.com, which predicts the values of fine wines using a proprietary database with over 2.5 million auction prices.

He is member of the board of directors of Upgrade, a San Francisco-based FinTech; an Associate Editor for the Journal of Credit Risk, the Journal of Risk Model Validation, and the Journal of Risk and Financial Management; and President of the Model Risk Managers’ International Association (mrmia.org).

Dr. Breeden earned a Ph.D. in physics, and has published over 80 academic articles, 8 patents, and 4 books. His upcoming book, Creating Artificial General Intelligence and Preventing the AI Apocalypse, will be published in Summer 2022.