Python · R · SQL
ABOUT THE ROLE
Join a fintech team building and operating analytical software for financial risk scoring. You will translate defined methodologies into reliable production systems, strengthen validation, and help expand the platform across analytical areas.
WHAT YOU'LL DO
- Implement and maintain production risk calculations, translating written methodologies into clear, tested code and raising ambiguities for resolution.
- Ensure scoring runs are repeatable and safe to replay, and improve performance as data volumes grow.
- Design modular analytical libraries and contribute to architecture used by product and engineering teams.
- Build a deterministic reference-data validation harness, integrate it into CI, and report model coverage and drift.
- Diagnose live scoring issues across ingestion, application code, data quality, and methodology.
- Support tested migrations and backfills for live financial data, with a recovery path.
WHAT WE'RE LOOKING FOR
- At least 5 years of production software engineering experience, shipping and maintaining deployed systems with tests, code review, and CI.
- Experience building large-scale systems and working with high-volume data, web scrapers, and data adapters.
- Hands-on implementation experience with risk models, including volatility, correlation, concentration, or tail measures, or experience with options, structured products, and derivatives.
- Production experience with Python and Django, plus a quantitative or technical background or equivalent demonstrated experience.
- Knowledge of financial instruments,