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Quantitative Developer – Research & Trading

new york, ny • Posted 1 weeks ago
Onsite Full Time Risk Management & Quantitative Analysis

Quantitative Developer – Research & Trading

This range is provided by Acquire Me. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $350,000.00/yr

Direct message the job poster from Acquire Me

Quantitative Developer – Research & Trading

About the Company

Our client is a leading boutique systematic prop firm with an industry reputation for its cutting-edge quantitative research and technology-driven trading across almost all global markets.

About the Role

As a Quantitative Developer, you will sit on the trading floor, working side-by-side with Quant Researchers and Traders to design, build, and optimize the research and production algorithms that power systematic strategies. This is a highly visible, impact-driven role at the very core of the firm’s alpha engine.

Responsibilities

  • Collaborate directly with Quant Researchers to prototype, optimize, and productionize trading signals and alpha models.
  • Design and maintain high-performance research pipelines, enabling scalable data ingestion, feature engineering, and backtesting for multi-asset strategies.
  • Develop and enhance real-time analytics and trading tools, ensuring low-latency data flow, transparency, and reliability in the research-to-trade lifecycle.
  • Implement rigorous data validation, monitoring, and version control frameworks to ensure research integrity and reproducibility.
  • Contribute to the evolution of the firm’s research and simulation platform, leveraging distributed computing, modern Python frameworks, and cloud-based systems.

Required Skills

  • Exceptional Python programming skills, with deep experience in data-centric libraries (Pandas, NumPy, Polars, Dask) and distributed systems.
  • Experience in, or a passion for, financial technology/markets
  • Strong communication and collaboration skills - able to translate research ideas into performant, deployable code under fast-paced trading conditions.
  • Strong communication and commerciality - know how and when to push back

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Finance, Engineering, and Research

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