Quantitative Developer - Python

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 :

• Equities

• Commodities

• Credit Products

• 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.