companyCaxton Associates logo

Quantitative Developer at Caxton Associates | Bengaluru

Caxton AssociatesBengaluru, Karnataka, India
On-site Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Experience

Qualifications

Qualifications:Proficient in Python with additional knowledge in C# or Rust being advantageous.5+ years of experience in a relevant field, with a strong preference for candidates holding degrees in Computer Science, Engineering, Mathematics, or related disciplines. A proven track record of writing clean, maintainable, and well-documented code. Experience in refactoring legacy Python codebases into production-quality systems. Skilled in building ETL pipelines and handling large datasets. Familiarity with SQL and various database systems. Understanding of financial markets and trading systems is essential. Experience with version control, testing frameworks, and code review processes. Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus. Exposure to DevOps practices and CI/CD pipelines is also a plus.

About the job

About Caxton Associates:

Founded in 1983, Caxton Associates is a prestigious global trading and investment firm with a strong presence in major financial hubs including New York, London, Singapore, Monaco, and Dubai. As we expand our horizons, we are excited to announce the opening of our new office in Bangalore, India, scheduled for launch in 2026. This office will be instrumental in bolstering our global trading, research, and operational capabilities.

About the Role:

We are on the lookout for a skilled Quantitative Developer to collaborate with our Portfolio Managers in creating and enhancing our trading infrastructure. Your focus will be on developing sophisticated systems that align PM strategies with the firm's technological frameworks, prioritizing code quality and maintainability.

Key Responsibilities:

  • Design and maintain robust infrastructure to support quantitative trading strategies.
  • Create ETL pipelines for both market and alternative data sources.
  • Seamlessly integrate PM-specific tools with company-wide systems and databases.
  • Work alongside Portfolio Managers to translate trading needs into technical solutions.
  • Ensure high data quality, system reliability, and performance optimization.
  • Promote software engineering best practices, including code reviews, testing, and thorough documentation.
  • Refactor and enhance existing codebases to meet production standards.

Qualifications:

  • Proficient in Python with additional knowledge in C# or Rust being advantageous.
  • 5+ years of experience in a relevant field, with a strong preference for candidates holding degrees in Computer Science, Engineering, Mathematics, or related disciplines.
  • A proven track record of writing clean, maintainable, and well-documented code.
  • Experience in refactoring legacy Python codebases into production-quality systems.
  • Skilled in building ETL pipelines and handling large datasets.
  • Familiarity with SQL and various database systems.
  • Understanding of financial markets and trading systems is essential.
  • Experience with version control, testing frameworks, and code review processes.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus.
  • Exposure to DevOps practices and CI/CD pipelines is also a plus.

About Caxton Associates

Caxton Associates is a leading global trading and investment firm known for its expertise in managing client and proprietary capital through innovative global macro hedge fund strategies. With a commitment to excellence and growth, we are establishing our presence in Bangalore to further enhance our global operations.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.