Model Risk Managers International Association
CEO at Model Risk Manager's International Association (MRMIA) https://www.mrmia.org
Model Risk Managers’ International Association (MRMIA.ORG). This is the global organization for the Model Risk Managment profession. The goal of MRMIA is to promote Model Risk Managment as an independent profession within the banking, finance, consulting and technology industries. MRMIA will provide knowledge-sharing, education, and certification of model risk managers. MRMIA is incorporated in Delaware, USA as a Non-Profit Corporation.
Linked in group: https://www.linkedin.com/groups/8668461/
Prescient Models LLC
Dr. Breeden has been designing and deploying risk management systems for loan portfolios since 1996. He founded Prescient Models in 2011, which focuses on portfolio and loan-level forecasting solutions for pricing, account management, CCAR, and CECL. He co-founded Deep Future Analytics in 2013 as a CUSO to bring solutions to credit unions and community banks. He is also the owner of auctionforecast.com, which predicts the values of fine wines using a proprietary database with over 2 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 Risk Model Validation and for the Journal of Credit Risk., and a founding board member of the Model Risk Management International Association (mrmia.org).
Dr. Breeden has created models through the 1995 Mexican Peso Crisis, the 1997 Asian Economic Crisis, the 2001 Global Recession, the 2003 Hong Kong SARS Recession, and the 2007-2009 US Mortgage Crisis and Global Financial Crisis. These crises have provided Dr. Breeden with a rare perspective on crisis management and the analytics needs of executives for strategic decision-making.
He has published over 50 academic articles, 6 patents, and the second edition of his book Reinventing Retail Lending Analytics: Forecasting, Stress Testing, Capital, and Scoring for a World of Crises was published by Riskbooks in 2014. His new books, Living with CECL: Mortgage Modeling Alternatives and Living with CECL: The Modeling Dictionary were published in 2018.
Dr. Breeden received separate BS degrees in mathematics and physics in 1987 from Indiana University. He earned a Ph.D. in physics in 1991 from the University of Illinois studying real-world applications of chaos theory and genetic algorithms.
Managing Director, Model Risk Officer, Consumer & GWIM
Bank of America
Harish Sharma is the Model Risk Officer (MRO) for the Bank of America Consumer and GWIM businesses. Prior to joining Bank of America, Harish was the Head of Independent Model review as well as Model Risk Governance for HSBC North America responsible for organization-wide management of model risk. Harish completed his B.Tech. in Mechanical Engineering from IIT Delhi and MBA in Finance from IIM Ahmedabad. In addition, Harish is CFA and FRM certified.
Senior Product Manager, Model Risk Management
David Asermely is a Senior Product Manager at SAS who drives its industry-leading Model Risk Management solution roadmap. He is passionate about translating data into actionable intelligence, and he focuses on combining the best technologies and design principles to improve modeling efficiency and quality. Prior to joining SAS, David managed the Bank of New York Mellon’s Global Performance and Risk Analytics product set.
Managing Director, Model Risk Management
Royal Bank of Canada
As Managing Director in Enterprise Model Risk Management (EMRM), Jing Zou is responsible for validating models in Securitized Products, Pre-Provision Net Revenue, Retail Credit models, and interest rate derivatives models. She also developed Comprehensive Capital Analysis and Review (CCAR) model fragility analysis, which identifies the impact of model uncertainty on capital ratios. She is an invited speaker for many industry model risk management training courses.
Jing joined RBC in 2014 as a Director in local model risk manager, where she was responsible of engaging the business about model risks. Later on, she was promoted to Senior Director and then Managing Director and has expanded the scope to cover the validation of 40% of CCAR models. Prior to joining RBC, Jing worked at Goldman Sachs, Wells Fargo, and Fannie Mae in various quantitative analytics roles covering front office quant, market risk, and model risk areas.
Jing has a Ph.D. in Applied and Computational Mathematics from Princeton University and a B.S. and M.S. in Computational Mathematics in Xi’an Jiaotong University.
President & Founder
Grigoris Karakoulas is the president and founder of InfoAgora Inc. that has provided risk management consulting, prescriptive analytics, RegTech solutions (CECL/ IFRS9/IRRBB/Basel III) and model risk management services to Fortune-500 financial institutions with multi-million dollar benefits. He is also Adjunct Professor in the Department of Computer Science at the University of Toronto. Grigoris has published more than 40 papers in journals and conference proceedings in the areas of machine learning, risk management and predictive modelling in banking. He is on the PRMIA subject matter boards for Stress Testing and Enterprise Risk Management. He holds a PhD in Computer Science (Artificial Intelligence).
Managing Director, Corporate Model Risk Management
Ryan Moore is a Senior Manager in the Ernst & Young’s Financial Services Risk Management Advisory practice. He has over 11 years of experience in the financial services industry providing advisory services to banking and capital markets, insurance, and asset management clients. Ryan has extensive experience supporting leading financial institutions in the areas of model risk governance, model development, and model validation. Ryan has a BS in Finance and Accounting from Georgetown University and an MBA from the Columbia Business School. Ryan holds the Chartered Financial Analyst (CFA) designation and is a Certified Public Accountant in the state of New York.
Rushabh Mehta is a Senior Manager in the Advisory Services practice of Ernst & Young LLP. He has over fourteen years of experience in the financial services industry serving banking and capital markets and asset management clients. He has led multiple projects at various investment and commercial banking clients, assessing the Model Risk Management requirements as per Supervisory and Regulation letter (SR 11-7), “Guidance on Model Risk Management” and helped respond to and address matters requiring immediate attention (MRIA) from the regulatory (FED / OCC) examinations and now focusses on designing governance and control frameworks over emerging technologies.