Quantitative Developer - Systematic Equities
- Source: LinkedIn
- Acquire Me
- On-site
- New York City
- Full-Time
- Mid level
Job Description
Quantitative Developer - Systematic Equities
A leading quantitative investment firm is seeking Quantitative Developers to sit at the intersection of research, engineering, and trading. No finance/math experience needed.
You’ll work in a central development team, partnering directly with quantitative researchers across the org to build the platforms, data systems, and production infrastructure that power systematic investing. Your work will determine how quickly new ideas can be tested, how effectively they can be scaled, and ultimately how rapidly research can be translated into investment performance.
The best Quantitative Developers combine strong engineering fundamentals with a genuine interest in markets, data, and research.
What You’ll Do
- Partner with quantitative researchers to accelerate the research lifecycle.
- Build the platforms and infrastructure used to develop, test, and deploy systematic investment strategies.
- Design large-scale data and compute systems that process vast amounts of market and alternative data.
- Optimise research and production environments for speed, reliability, and scale.
- Work closely with researchers, portfolio managers, and engineers to bring new ideas into production.
- Solve complex technical challenges that directly impact investment outcomes.
What We’re Looking For
- Strong software engineering fundamentals with excellent Python, C++, or similar programming experience.
- Experience building scalable, distributed systems.
- Ability to work closely with highly technical stakeholders and turn complex ideas into production systems.
- 1-20+ years of experience - hiring at all levels
Why Apply
- Work directly alongside world-class quantitative researchers and investors.
- Build technology that sits at the core of the investment process.
- See a direct connection between your engineering work and business outcomes.
- Tackle some of the most challenging data, modelling, and distributed systems problems in the industry.
- High ownership, exceptional colleagues, and a culture built around intellectual curiosity and continuous improvement.
Apply now or drop me an email for more details: [email protected]
Skills
- the-org
- Python
- cplusplus
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