IMC is seeking experienced quantitative researchers to develop systematic futures trading strategies by combining their extensive options trading expertise with systematic strategies in the underlying futures market.
Requirements
Several years (5+ Years) of quantitative research experience, preferably in systematic trading, futures, HFT, or related high-frequency / high-throughput environments.
Demonstrable track record of generating predictive signals in futures / derivatives / systematic trading.
Excellent programming skills (e.g., Python, C++, or other relevant languages), and comfort working with large datasets and real-time data feeds.
Strong statistical background, with experience in statistical modeling, time-series analysis, machine learning / ML-based approaches, and understanding of overfitting risk.
Deep interest in market dynamics, high-frequency trading, and understanding of microstructure, order flow, and volatility — with an ability to translate that into actionable research.
Responsibilities
Conduct alpha / signal / feature research targeted at intraday futures trading strategies — from hypothesis generation through rigorous data analysis.
Quickly prototype, backtest, and evaluate new trading ideas, using large-scale and high-frequency market data.
Collaborate with developers, traders, and fellow researchers to design and implement a robust research-to-production pipeline. Once validated, see ideas through to full-scale deployment.
Monitor and refine existing strategies, continuously evaluating performance, risk, and edge decay — and iterating to maintain or improve profitability.
Explore and integrate new data sources, alternative data sets, and market microstructure signals to expand the research toolbox.
Contribute to defining the strategic direction of research initiatives, including tooling, data infrastructure, and methodology improvements.
Other
Advanced degree (MSc, PhD, or equivalent) in a quantitative or technical discipline (Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or similar).
Strong analytical thinking, problem-solving skills, and a practical “business orientation”: able to assess strategy viability, robustness, and real-world performance.
Excellent communication and collaboration skills — able to work effectively across teams (developers, traders, researchers).
