About the Role :

We are looking for a highly skilled Quantitative Developer with strong expertise in Python programming and a solid understanding of financial markets and quantitative models. The ideal candidate will work on implementing and optimizing complex financial pricing models while ensuring high computational accuracy and performance.

Key Responsibilities :

- Develop and maintain quantitative applications using Python.

- Implement complex mathematical and financial pricing models.

- Validate model outputs against benchmark implementations with machine-level precision.

- Optimize code for high-performance calculations and scalability.

- Ensure robust exception handling and production-grade software quality.

- Integrate pricing engines with downstream risk management systems and data pipelines.

- Collaborate with quantitative analysts, financial engineers, and technology teams to deliver reliable financial solutions.

- Debug, test, and improve existing quantitative libraries and analytics.

Required Skills :

- Strong hands-on programming experience in Python (Mandatory).

- Excellent coding, debugging, and software engineering practices.

- Experience implementing mathematical algorithms and numerical methods.

- Strong analytical and problem-solving skills.

- Experience working with financial data and quantitative models.

Preferred Skills :

- Knowledge of Financial Services and Capital Markets.

- Understanding of pricing models across one or more asset classes :

1. Equities

2. Commodities

3. Credit Products

4. Interest Rate Products

- Familiarity with quantitative finance concepts, financial instruments, and risk analytics.

- Experience in model validation and performance optimization.

What You'll Be Working On :

Your day-to-day responsibilities will include :

- Translating mathematical formulas into efficient Python implementations.

- Validating every intermediate calculation with extremely high numerical accuracy.

- Building high-performance pricing and analytics engines.

- Delivering reliable data feeds to downstream risk systems.

- Enhancing calculation speed while maintaining robustness, scalability, and production-quality standards.

Ideal Candidate :

- 6 to 14 years of experience in Quantitative Development or Financial Engineering.

- Passionate about writing clean, optimized Python code.

- Comfortable working with complex mathematical models and financial analytics.

- Strong attention to detail and accuracy in computational finance.