What is the salary for this Quantitative Developer role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Caxton Associates.

Where is this Quantitative Developer position located?

This is an on-site position at Caxton Associates located in Bengaluru, Karnataka, India, Asia.

How do I apply for this Quantitative Developer job at Caxton Associates?

Click the 'Apply' button on this page to be redirected to Caxton Associates's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

What is Caxton Associates?

Caxton Associates is actively hiring for Engineering roles. Visit the company page to see all open positions and learn more about working at Caxton Associates.

Quantitative Developer

Caxton Associates Bengaluru, Karnataka, India 1 day ago

engineering

About Caxton Associates:

Caxton Associates, founded in 1983, is a global trading and investment firm with offices in New York, London, Singapore, Monaco and Dubai, and launching Bangalore in 2026. Caxton Associates’ primary business is to manage client and proprietary capital through global macro hedge fund strategies. As part of our continued growth, we are establishing a new office in Bangalore, India. This office will play a critical role in supporting our trading, research, and operations globally.

About the role:

We are seeking a Quantitative Developer to partner with our Portfolio Managers in building and maintaining trading infrastructure. You will develop systems that bridge PM strategies with firm-wide technology platforms, with a strong emphasis on code quality and maintainability.

Responsibilities:

Build and maintain infrastructure to support quantitative trading strategies.
Develop ETL pipelines for market data and alternative data sources.
Integrate PM-specific tools with firm-wide systems and databases.
Collaborate with Portfolio Managers to translate trading requirements into technical solutions.
Ensure data quality, system reliability, and performance optimization.
Champion software engineering best practices, including code reviews, testing, and documentation.
Refactor and improve existing codebases to meet production standards.

Experience:

Strong programming skills in Python. Exposure to other languages (C#/Rust) is a plus.
Demonstrated commitment to writing clean, maintainable, and well-documented code.
Experience refactoring legacy Python codebases into production-quality systems.
Experience building ETL pipelines and working with large datasets.
Working knowledge of SQL and database systems.
Understanding of financial markets and trading systems.
Experience with version control, testing frameworks, and code review processes.
Experience with cloud platforms (AWS, GCP, Azure) is a plus.
Exposure to DevOps practices and CI/CD pipelines is a plus.