Quantitative Developer - Python

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

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

About the role

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.

Requirements

None specified

Qualifications

None specified

Benefits

Please visit Benefits - US | IMC Trading for more comprehensive information.

Pay

The Base Salary range for the role is $200,000 - $225,000 USD.

Schedule

Not specified