Systematic Developer

Capula Investment Management LLP; New York (NY); On-site; USD 250,000 - 400,000; Full time

Job summary

A leading investment management firm is seeking a Quantitative Developer to join their systematic investment team. In this mid-senior level role, you will develop and maintain robust software systems for systematic trading strategies, work closely with quantitative researchers, and optimize existing codebases. The ideal candidate has a Bachelor's degree in Computer Science, 3-7 years of relevant software development experience, and advanced Python skills in a Linux environment. This position offers a competitive salary range between $250,000 and $400,000 based on experience.

Qualifications

• 3-7 years of professional software development experience, specifically in systematic investment.
• Advanced knowledge of Python in a production Linux environment.
• Experience with statistics or data-intensive research.

Responsibilities

• Develop and maintain software systems for trading strategies.
• Collaborate with researchers to implement workflows.
• Optimize code for performance in a low-latency environment.
• Contribute to infrastructure for research and trading systems.
• Troubleshoot production issues rapidly.

Skills

Python programming

Software development

Communication skills

Statistics

Education

Bachelor's degree in Computer Science

Job description

Quantitative Developer

We are seeking a highly skilled and motivated Quantitative Developer to join our systematic investment team. This role is ideal for an individual with a strong background in computer science and a proven track record of supporting systematic investment processes. You will work alongside portfolio managers, researchers, and technologists to design, implement, and maintain critical infrastructure for data, research, and trading systems. Candidates will ideally be able to join Capula within 6 months (including any relevant non‑compete).

Key Responsibilities

• Develop and maintain robust, scalable software systems for systematic trading strategies
• Collaborate closely with quantitative researchers to implement research workflows and production pipelines
• Optimize and refactor existing codebases for performance and reliability in a low‑latency, Linux‑based environment
• Contribute to infrastructure and tooling that supports research, backtesting, data ingestion, and live trading
• Troubleshoot and resolve production issues rapidly and reliably
• Work cross‑functionally with other teams to ensure technology and investment alignment

Requirements

• Bachelor's degree in Computer Science from a top‑tier U.S. or Canadian engineering school
• 3‑7 years of professional software development experience, with at least 3 years supporting a systematic investment process
• Coursework or research experience in statistics or other data‑intensive fields
• Advanced Python programming skills in a production‑level, Linux‑based environment
• Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences

Desirable (but not essential)

• Professional (not academic) experience with C++ or C#
• Internship or full‑time experience at a leading technology firm
• Advanced degree (e.g., M.S. or Ph.D.) in Computer Science or a computationally intensive discipline

Benefits

Depending on years' experience, this role is offering a range of USD 250,000‑400,000 TC.

Seniority: Mid‑Senior level | Employment type: Full‑time | Function: Engineering and Information Technology