Scott Eilerts

About Scott Eilerts

I have worked in quantitative finance for over 20 years. I have a PhD in experimental high energy physics. I worked for over a decade at $1B+ AUM equity hedge funds, and over a decade more in bank regulatory stress testing and model risk management. I have subject matter expertise in model validations and model governance following SR 11-7 guidelines. R is my analytics language of choice. At Schwab currently, I manage a team of model validators (15 FTE), covering investment management, margin trading, data science/Generative AI, and cybersecurity.

Experience

1. Director, Model Risk Management

   Charles Schwab

   Jun 2014 — Present

   As part Schwab\'s Model Risk Management function, I manage a team of 12 quantitative analysts that perform model validation in accordance with Federal Reserve bulletin SR 11-7 / OCC bulletin 2011-12. My area of coverage includes data science and investing models, including fraud, anti-money laundering, asset allocation, margin risk, and investment management. Model methodologies include supervised and unsupervised machine learning, natural language processing, generative AI, multifactor investment models, and derivative pricing models.

Education

• Pacific University

  B.S, Physics

  1991 — 1993

• The University of New Mexico

  Ph.D., Physics

  1993 — 1999