Senior Quantitative Developer

Posted 17 Days Ago
Be an Early Applicant
Gurugram, Haryana
In-Office
4M-5M
Senior level
Information Technology
The Role
The role involves designing and building a valuation and risk engine for fixed-income portfolios, integrating market data, and optimizing solutions with C++ and Python.
Summary Generated by Built In
Company Description

Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world.

Job Description

The Organization:

Vichara specializes in enterprise systems and quantitative solutions for institutional capital‑markets participants. Its platforms manage billions in fixed‑income assets, powering valuation, risk, accounting and data workflows for global investment firms. Headquartered in New Jersey, Vichara operates major development centres in Gurgaon, Toronto and Bogotá. Learn more at www.vichara.com.

The Opportunity

A global asset‑manager is retiring its third party analytics stack and has engaged Vichara to build a green‑field, open‑source valuation and risk engine for its fixed‑income portfolios—including sovereigns, corporates, MBS/ABS and interest‑rate derivatives. You will join a team of quants to deliver the new library in Python and C++ on top of QuantLib and Open‑Source Risk Engine (ORE), integrate it with the client’s data, and validate results against legacy outputs.

Qualifications

  • Job Responsibilities:

  • Design modular pricing, curve‑building, cash‑flow and risk components leveraging QuantLib / ORE; expose Python bindings for desk‑level analytics.
  • Implement and calibrate term‑structure, credit‑spread and volatility models (e.g., Hull‑White, SABR, HJM) in high‑performance C++ with unit‑tested Python wrappers.
  • Build loaders to ingest existing Numerix trade data and develop regression tests to match PV, DV01, CS01, convexity and Greeks within agreed tolerances.
  • Optimise critical routines using multithreading and caching
  • Integrate market data.
  • Set up infra using Azure Kubernetes,
  • Candidate Profile:

  • Master’s / PhD in Quantitative Finance, Financial Engineering, or related field.
  • 5+ years building pricing or risk libraries for rates or credit products; prior Numerix, FinCAD or in‑house library experience a plus.
  • Expert C++17/20 for high‑performance AND/ OR strong Python
  • Hands‑on QuantLib (preferably with upstream contributions) and working knowledge of ORE architecture. Fluency in curve construction, bootstrapping, Monte Carlo, finite‑difference PDEs and XVA concepts.
  • Familiarity with Azure CI pipelines, Docker/Kubernetes and Git-centric workflows.

Additional Information

Compensation -   40- 50 lakhs pa

Benefits:

  • Extended health care
  • Dental care
  • Life insurance

 

Top Skills

Azure
C++
Docker
Git
Kubernetes
Open-Source Risk Engine
Python
Quantlib
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The Company
HQ: Ridgewood, New Jersey
201 Employees
Year Founded: 2001

What We Do

Vichara Technologies is a niche technology services and solutions firm focused on solving complex Capital Markets challenges.

Vichara’s solutions include valuation, analytics and risk management for fixed income asset classes with special focus on structured products (RMBS, CLO, CDO, CMBS/CRE, Whole Loans). vLens, our mortgage data platform allows for analysis of large mortgage data sets. Our philosophy is to provide most granular, accurate and timely analysis. Our clients take advantage of having insights before their competitors. We aim to provide exactly what you want and increase your productivity many folds by streamlining your investment process.

Vichara also provides technology consulting, custom software development, system integration and infrastructure management services. Over the last decade, Vichara has built mission critical enterprise systems for securities trading, portfolio management, asset securitization, trading analytics, modeling, risk management, accounting and financial operations for many of the world’s leading financial institutions across the globe

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