Quantitative Developer - Python

About this role

IMC seeks a Quantitative Developer to bridge research and production, building systems that transform quantitative strategies into live trading with measurable impact. You'll own the complete lifecycle from idea validation through execution, designing robust backtesting infrastructure and maintaining feature pipelines that power systematic trading.

What you'll do

• Build and maintain research-to-production systems enabling rapid iteration and deployment
• Design high-fidelity simulation and backtesting infrastructure accounting for latency and market microstructure
• Define, compute, and manage features across instruments and time horizons
• Own feature and signal pipelines ensuring consistent data delivery from research to execution
• Optimize trading strategies while balancing performance with real-world constraints
• Debug issues end-to-end across research and execution environments

What they're looking for

• Python production development with data analysis libraries (pandas, polars)
• Probability, statistics, and time series analysis
• Backtesting and simulation framework experience
• Machine learning concepts applied to systematic strategies
• Low-latency systems development
• Cross-functional collaboration between research and engineering teams
• 3-7 years quantitative software development experience
• Trading firm or systematic fund background preferred

Benefits

• Competitive base salary $200,000–$225,000 USD
• Discretionary bonus eligibility
• Paid leave and insurance coverage
• Global trading firm with cutting-edge research environment
• Collaborative, high-performance culture
• Exposure to innovative trading strategies and technologies