Quantitative Developer at Caxton Associates LLP

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C#, Rust, ETL Pipelines, SQL, Database Systems, Financial Markets, Trading Systems, Version Control, Testing Frameworks, Code Review, Cloud Platforms, DevOps, CI/CD

Industry

Investment Management

Description

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.

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Responsibilities

The Quantitative Developer will build and maintain infrastructure to support quantitative trading strategies and develop ETL pipelines for market data. They will collaborate with Portfolio Managers to translate trading requirements into technical solutions.