Fixed Income Quantitative Developer

4 weeks ago

Narela, India Vichara Technologies Full time

About VicharaVichara is a global leader in enterprise systems and quantitative solutions for institutional capital-markets participants. Our platforms manage billions in fixed-income assets, powering valuation, risk, accounting, and data workflows for leading investment firms worldwide. Headquartered in New Jersey, we operate major development centers in Gurgaon, Toronto, and Bogotá. Learn more at.Role Overview We are partnering with a top-tier asset manager that is replacing its third-party analytics stack with anext-generation, open-source valuation and risk platform. As part of our quantitative development team, you will play a key role in building this greenfield solution usingPython and C++, leveragingQuantLiband theOpen-Source Risk Engine (ORE). You will work on model development, system integration, and performance optimization, while validating results against legacy analytics and delivering a scalable solution for complex fixed-income portfolios covering sovereigns, corporates, MBS/ABS, and derivatives.What You’ll Do Architect and implementpricing, curve-building, cash-flow, and risk componentsusing QuantLib / ORE, with Python bindings for desk-level analytics. Develop and calibrateterm-structure, credit-spread, and volatility models(e.g., Hull-White, SABR, HJM) in C++ with robust Python wrappers. Enhance performance throughmultithreading, caching, and optimization techniques. Integrate external market data and build seamless workflows. Contribute to infrastructure setup withAzure Kubernetes, CI/CD automation, and Git-driven collaboration.What We’re Looking For Master’s / PhD inQuantitative Finance, Financial Engineering, or a related field. 5+ years of experiencein building pricing or risk libraries for rates or credit products. Hands-on exposure toFinCAD, or in-house risk/pricing librariesis an advantage. Strong programming skills inC++(for high-performance computing) and/orPython. Proven expertise withQuantLib(open-source contributions highly valued) and familiarity withORE architecture. Solid understanding ofcurve construction, bootstrapping, Monte Carlo simulations, PDE methods, and XVA frameworks. Practical knowledge ofcloud-native tools: Azure CI pipelines, Docker/Kubernetes, and collaborative Git workflows.

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