Lead - Rates & Front Office Model Development - Derivatives

Job Title: Rates & Front Office Model Development Lead

Location: Bangalore

Role Overview:

We are seeking a highly skilled Quantitative Developer / Model Development Lead to join the Rates & Front Office Quant Team. The role involves designing, developing, and maintaining pricing and risk models for interest rate and fixed income products used by traders and risk managers in the front office.

The ideal candidate will have hands-on experience in C++ or Java programming, deep understanding of financial mathematics, and prior exposure to quant libraries, pricing models, or risk engines within a trading or investment banking environment.

Key Responsibilities:

- Lead the design, development, and enhancement of front-office pricing and risk models for Rates and Fixed Income products (e.g., Swaps, Bonds, Options).

- Collaborate with Quants, Traders, and Risk Managers to implement and validate model functionality and performance.

- Optimize and refactor quantitative code for speed, scalability, and reliability.

- Contribute to the development and integration of quant libraries and analytics frameworks used across the trading desks.

- Ensure model governance, testing, and documentation in line with internal and regulatory standards.

- Provide technical mentorship and guidance to junior quant developers.

Required Skills & Experience:

- 6+ years of relevant experience in Quant Model Development / Front Office Technology / Rates Quant Teams.

- Strong hands-on programming in C++ or Java (knowledge of both is a plus).

- Solid understanding of interest rate derivatives, yield curves, discounting, and pricing models.

- Experience with model implementation, risk calculation (e.g., PV, Greeks), and numerical methods (Monte Carlo, PDEs).

- Working knowledge of Python for prototyping or data analysis preferred.

- Exposure to QuantLib, Murex, or other quant libraries is advantageous.

- Degree in Quantitative Finance, Mathematics, Physics, Computer Science, or Engineering; advanced degree (M.S./Ph.D.) preferred.