Speaker Name

Jeffrey Feinstein, Ph.D., is vice president of advanced analytic strategy at LexisNexis Risk Solutions. He oversees domestic and global statistical development and analytic projects for financial services, retail, telecom, utilities, government and healthcare markets.

Feinstein leads a team of over 100 data scientists in efforts to use innovative analytic solutions, techniques and content to address business problems across industries. He focuses on identifying behavioral data patterns descriptive of synthetic identities and stolen identities, as well as attitudes and behaviors underlying credit scoring. His solutions prevent consumer fraud and enhance financial inclusion among unbanked and underbanked consumers.

Feinstein is a thought-leader in risk and fraud analytics and credit bureau scoring, with 20 years of experience in the industry. He has eight U.S. patents, including three related to credit scoring. He is regularly called on by news outlets for insights and commentary on credit scoring and fraud, and has published articles in National Mortgage News and Scotsman Guide. He regularly briefs industry analysts on how machine learning is being used for fraud and identity management as well as financial crime compliance.

Topics of Interest
Feinstein can speak on a variety of topics about using behavioral data to prevent consumer fraud and improve financial inclusion, such as:

1. Behavioral data patterns characteristic of synthetic identity fraud 
2. How alternative data and data linking technology improves credit scoring and financial inclusion, particularly among underbanked consumers
3. Innovations in analytic solutions and content, as they relate to data
4. Building a successful strategy using machine learning

Additional Biographical Information
Prior to joining LexisNexis Risk Solutions, Feinstein was a principal scientist in analytic science and project manager in credit bureau risk score development at FICO. Feinstein holds a bachelor’s degree from State University of New York at Buffalo, and a Ph.D. in experimental psychology with a minor in applied statistics from The Ohio State University.