Quantitative Researcher - Futures | Chicago, IL, USA
IMC
Chicago, IL (In Person)
$275,000 Salary, Full-Time
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Job Description
Your Core 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. Your Skills & Experience
- Advanced degree (MSc, PhD, or equivalent) in a quantitative or technical discipline (Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or similar).
- 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.
- 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).
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