Quantitative Futures Researcher — ML-Driven Alpha Signals

Trading Interview; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Discretionary bonus

Paid leave

Insurance

Job summary

IMC Trading is seeking experienced quantitative researchers to develop systematic futures trading strategies. You will join a well-resourced team combining IMC’s options trading expertise with systematic futures research to generate forecasts and execute trades.

You will contribute to signal generation and work with developers to design a robust research-to-production framework, ensuring timely deployment of ideas and ongoing improvement of performance.

Qualifications

• Advanced degree in Mathematics, Statistics, Physics, CS or Financial Engineering.
• 5+ years of quantitative research experience in systematic trading or related high-frequency environments.
• Proven ability to generate predictive signals in futures/derivatives.
• Strong programming skills in Python/C++ and handling large datasets.
• Solid background in statistics, time-series, ML methods, and overfitting risk.

Responsibilities

• Conduct alpha/signal/feature research for intraday futures trading strategies.
• Prototype, backtest, and evaluate ideas using large-scale market data.
• Collaborate with developers, traders, researchers to deploy research to production.
• Monitor and refine strategies, assess performance, risk, and edge decay.
• Explore new data sources and improve tooling, data infrastructure, and methodology.

Skills

Python

C++

Statistics

Time-series analysis

Machine learning

Data analysis

Real-time data

Communication

Collaboration

Problem solving

Education

MSc/PhD in quantitative/technical field

Job description

IMC Trading is seeking experienced quantitative researchers to develop systematic futures trading strategies. You will join a well-resourced team combining IMC’s options trading expertise with systematic futures research to generate forecasts and execute trades.

You will contribute to signal generation and work with developers to design a robust research-to-production framework, ensuring timely deployment of ideas and ongoing improvement of performance.