Lead Software Engineer QUANTS

Quantitative Analyst Front Office Analytics
About Calypso (a Nasdaq product)
Nasdaq Calypso delivers mission-critical risk regulatory and trading technology to the worlds largest financial institutions. The platform powers trading and trade processing across every major asset class FX rates equities credit commodities and digital assets serving hundreds of banks broker-dealers asset managers and central counterparties globally.
Our Quantitative Analytics team sits within a global organization of 10000 colleagues with offices across North America EMEA and APAC. We combine the engineering depth of a leading fintech with the scale stability and client reach of a publicly listed market infrastructure leader.
This role is based in Mumbai and operates on a hybrid working model (typically 3 days in office 2 days remote).
Role Overview
We are hiring a Quantitative Analyst to join our Front Office Analytics team. You will design implement and productionize pricing and risk models used directly by our clients trading desks.
This is a hands-on quant role: you will own models end-to-end from mathematical derivation through C/Python implementation performance optimization testing documentation and client support. Our library covers all major asset classes so youll have exposure well beyond any single desk.

Develop and maintain pricing risk and XVA models across rates FX credit equity and/or commodities

Translate mathematical specifications into high-performance well-tested production code

Work directly with clients quants and traders to calibrate validate and extend models to new products and markets

Partner with Engineering on performance (vectorization GPU/parallel compute AAD/adjoint sensitivities)

Give to our AI/ML initiatives for model acceleration calibration and anomaly detection

Write clear technical documentation and defend methodology in model validation reviews

Required

5 years as a quantitative analyst in derivatives analytics (any asset class considered)

Strong development skills in C (modern C17/20) and/or Python; comfort with Git CI/CD and code review culture

PhD (or equivalent research experience) in Mathematics Physics Engineering Computational Finance or a related quantitative field

Solid grounding in stochastic calculus numerical methods (Monte Carlo PDE finite difference) and derivative pricing theory

Passion for writing industrial-strength reusable analytics code

Nice to have

Experience with AAD / algorithmic differentiation libraries

Exposure to XVA SIMM FRTB or IM/VM calculation engines

ML/AI applied to pricing calibration or risk (PyTorch JAX scikit-learn)

Cloud-native development (AWS / Azure / GCP) containers Kubernetes

Experience contributing to a vendor or sell-side production analytics library

• What We Offer

  Competitive base salary and discretionary performance-based bonus

  Nasdaq equity (RSUs) and employee stock purchase plan

  Comprehensive health retirement and wellbeing benefits

  Hybrid working generous leave and paid learning & conference budget

  A global team of quants engineers and researchers working on problems that directly move markets

  Nasdaq is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race colour religion sex sexual orientation gender identity national origin disability or veteran status.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives experiences and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.