Senior Quantitative Developer

About the Role

Build and operate production software that translates financial risk methodologies into reliable scores. This role partners with financial engineering and analytics teams, with a focus on scoring integrity and the broader analytical systems that support the product.

What You'll Do

• Implement and maintain risk models and scoring calculations as reliable, scalable production code.

• Translate documented methodologies into code and raise questions when requirements are ambiguous.

• Design scoring jobs to be repeatable and safe to rerun, and improve their performance as data volumes grow.

• Develop a reference-set validation harness that compares results against adjudicated data and runs in CI for model or taxonomy changes.

• Report validation coverage and drift in a way that supports investigation and model improvements.

• Diagnose live scoring issues across ingestion, application code, data quality, methodology, and customer-facing outputs.

• Contribute to maintainable, modular analytics architecture, tests, code review, and production engineering practices.

• Support financial-data migrations and backfills with tested recovery plans, and contribute across adjacent analytical areas over time.

What We're Looking For

• At least 5 years of experience building and maintaining production software in established codebases with tests, code review, and CI.

• Experience building large-scale systems and working with high-volume data, data adapters, and web scrapers.

• Hands-on experience implementing risk models, including volatility, correlation, concentration, and tail measures, or working 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 and US markets, including classification, scoring factors, and proxies for instruments without historical data.

• Experience with automated solutions, reference-set or golden-data validation, and production financial-data migrations.

• Ability to explain analytical methods and scoring results clearly, including in documentation suited to audit or enterprise review.

Compensation & Benefits

Compensation: $4,000 to $8,000 USD. Visa sponsorship is not available.

Location

Remote, with the primary location in India. Remote candidates in Latin America may also be considered.