Summary
Elise Nguyen is a data-driven risk manager with nine years of experience blending quantitative modeling, product analytics, and operational automation across fintech and financial services. She rebuilt a production underwriting decision engine in Python, developed LLM-assisted analytics to inform pricing and retention strategies, and built simulation frameworks and dashboards for early detection of credit risk. Previously she automated risk reporting and forecasting at Capital One and validated structured-finance models at Fitch, demonstrating strong model governance and productionization skills. Comfortable across Python, R, VBA, SQL, and Snowflake, Elise pairs technical depth with cross-functional execution—translating complex analytics into actionable recommendations for senior leaders. Outside formal roles she has applied web-scraping and volatility research techniques in market-risk projects, reflecting a curiosity for practical quantitative solutions.
9 years of coding experience
4 years of employment as a software developer
M.A., Mathematics of Finance, 3.94 / 4.00, M.A., Mathematics of Finance, 3.94 / 4.00 at Columbia University Graduate School of Arts and Sciences
Bachelor of Arts, Mathematics, 3.69 / 4.00, Bachelor of Arts, Mathematics, 3.69 / 4.00 at DePauw University
Vietnamese