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True Talent Solutions Partners

Senior Quantitative Developer

Posted 4 days ago
$4000 - $8000 per year
5-10 years experience
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AI Summary

You will implement and maintain production risk-scoring calculations while building validation tools to ensure accuracy. Additionally, you will contribute to modular analytics libraries and improve system performance as data volumes grow.

About the Role

Join a fintech team building and operating financial risk-scoring systems. You will translate defined methodologies into reliable production software, build validation tools, and help ensure scoring remains accurate as the product and data grow.

What You'll Do

  • Implement and maintain production risk-scoring calculations from documented methodologies, raising questions when requirements are ambiguous.

  • Make scoring runs repeatable and safe to replay, and improve performance as portfolio and security volumes increase.

  • Contribute to modular, well-organized calculation and analytics libraries that other product teams can build on.

  • Build a deterministic reference-set validation harness, integrate it into CI, and report coverage and model drift.

  • Work within established production engineering practices, including testing, code review, and CI.

  • Help broaden analytical capabilities beyond risk scoring as product needs evolve.

What We're Looking For

  • At least 5 years of experience building and maintaining deployed production software, including work in an existing codebase with tests, code review, and CI.

  • Experience building large-scale systems and working with high-volume data.

  • Hands-on experience implementing financial risk models, including volatility, correlation, concentration, or tail measures, or experience with options, structured products, and derivatives.

  • Strong quantitative or technical foundations in computer science, mathematics, engineering, or a related field, or equivalent experience.

  • Knowledge of financial instruments and classification, scoring methodologies, and proxies for instruments with limited history.

  • Experience with Python and Django in production, web scrapers and data adapters, and automated solutions such as trading systems or strategies.

  • Familiarity with reference-data validation, live financial-data migrations and backfills, and US financial markets; tax-optimization experience is also relevant.

Compensation & Benefits

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

Location

Remote. Primary location: India.

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