Affirm is looking to optimize its portfolio segments at scale and refine the analytical tooling to enable efficient value exchange between Affirm's merchants, consumers, and strategic partners, ultimately driving profitable growth.
Requirements
- Familiarity in applying Python and SQL to analyze large data sets
- PySpark experience is a plus
- Existing Github presence or portfolio of former projects
Responsibilities
- Apply and develop AI-powered, machine learning models to simulate and analyze risk on Affirm’s loan portfolio
- Ideate, validate, implement, and track performance of pricing recommendations that were generated by discrete optimization methods
- Build expertise in our evolving data warehouse, risk models, and optimization methodologies
- Assist in launching user-level pricing experiments and monitor against model results
- Partner with our Credit, Product, Engineering, Applied Machine Learning, Commercial, Finance and Capital Markets teams on company-wide initiatives
Other
- 6+ years of experience in an analytical or quantitative role
- Practical knowledge of fixed income, financial modeling, asset pricing, and consumer financial services
- Masters Degree in Computer Science, Mathematics, Data Science, Statistics, Finance, or Financial Engineering is a plus
- Remote-first company
- Employees new to Affirm typically come in at the start of the pay range
