Quantitative Developer – Research & Trading
Listed on 2026-03-01
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IT/Tech
Data Scientist, Data Analyst, Data Science Manager, Machine Learning/ ML Engineer
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$/yr - $/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 product ionize 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, Num Py, 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
- Mid-Senior level
- Full-time
- Finance, Engineering, and Research
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