Quant Dev: Build Scalable Trading Research Platform

Point One - Hedge Fund Talent

New York (NY)

On-site

USD 140,000 - 230,000

Full time

13 hours ago
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Job summary

Point One - Hedge Fund Talent is seeking a Quantitative Developer / Software Engineer in New York. This hands-on role sits with a high-performing portfolio manager in a collaborative trading pod, spanning research infrastructure, data systems, and live trading deployment.

You will own the research platform, build tooling for researchers, and integrate AI workflows to boost productivity. The position requires 2–3 years in a similar hedge fund environment and a strong STEM background.

Qualifications

  • Proven experience (2-3+ years) in a Quantitative Developer or Software Eng role within hedge fund/prop trading.
  • Strong understanding of quantitative research workflows and monetization frameworks.
  • Experience with market data, trading systems, and distributed computing.
  • Excellent problem-solving, analytical, and software development skills.
  • Able to work directly with investment teams and senior stakeholders.

Responsibilities

  • Own and improve the research platform, backtesting, simulations, and compute layers.
  • Build tooling to help researchers develop, test, and deploy signals.
  • Integrate AI workflows to boost productivity and model development.
  • Design and maintain large-scale datasets and data pipelines used by research and production.
  • Optimize interfaces with execution, risk monitoring, and compute resources.
  • Productionize and monitor trading signals for robustness and observability.
  • Collaborate with the Senior Portfolio Manager to translate research needs into scalable tech solutions.

Skills

Quantitative development
Software engineering
Data pipelines
Distributed computing

Education

Advanced STEM degree

Job description

Point One - Hedge Fund Talent is seeking a Quantitative Developer / Software Engineer in New York. This hands-on role sits with a high-performing portfolio manager in a collaborative trading pod, spanning research infrastructure, data systems, and live trading deployment.

You will own the research platform, build tooling for researchers, and integrate AI workflows to boost productivity. The position requires 2–3 years in a similar hedge fund environment and a strong STEM background.

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