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Open nowPosted yesterday

Senior Quantitative Developer

Caxton Associates23 open roles

Where
Bengaluru
Work mode
On site
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Your applicationOpen nowSenior Quantitative DeveloperCaxton Associates · Bengaluru

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The clock on this job

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7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted yesterday

The posting

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 Senior 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.
  • 12+ years of relevant experience and degree in quantitative field. Strong preference for computer science, engineering, or mathematics, or related field.
  • 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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