The Quantitative Developer will develop systems from research to production, build simulation infrastructure, manage feature pipelines, and troubleshoot issues in quantitative trading environments.
IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact.
Your Core Responsibilities
Your Skills and Experience
Your Core Responsibilities
- Build and maintain systems that span research and production, enabling rapid iteration from idea to production
- Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints
- Define, compute, and curate features across instruments, regimes, and time horizons
- Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution
- Contribute to strategy optimization, balancing expected performance with real-world constraints
- Debug issues end-to-end across research and execution
Your Skills and Experience
- 3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund
- Strong production experience in Python, including data analysis workflows (pandas, polars, or similar)
- Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks
- Solid understanding of ML concepts as applied to systematic strategies, from research through production
- Experience with low-latency systems is valuable
- Ability to work fluidly across research and engineering teams
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This position is an opportunity to fill a form for future job matching after the ASPLOS Conference with IMC Trading.
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