Senior Quantitative Developer

Description

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.

Responsibilities

• 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.

Requirements

• 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.

Conditions

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

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