Hybrid Quantitative Researcher: Trading Models & ML

IMC; Chicago, New York (IL, NY); Hybrid; USD 175,000 - 275,000; Full time

Job summary

IMC Americas, Inc. is hiring multiple Quantitative Researchers for Chicago, IL and New York, NY.

You will collaborate with traders, developers, and researchers to improve models used in proprietary trading strategies through statistical analysis, simulation, and empirical research. You will design methods to analyze market data, build backtesting frameworks, and prototype algorithms, with a focus on forecasting accuracy, risk, and profitability.

Qualifications

• Requires a Bachelor's degree or foreign equivalent in a quantitative field and two years of related experience.
• Experience applying statistical inference, optimization, time-series analysis, and ML methods to solve problems.
• Ability to design and implement mathematical models and algorithms for trading strategies.
• Experience analyzing large-scale high-frequency financial time-series data and handling data quality issues.
• Proficiency with Python libraries (Pandas, NumPy, SciPy, scikit-learn, PyTorch, XGBoost, LightGBM).
• Experience collaborating with traders and developers in a quantitative trading environment.
• Knowledge of market microstructure, derivatives pricing, risk modeling, and portfolio management.
• Experience building trading systems with low-latency requirements.
• Ability to translate research into production-ready algorithms.

Responsibilities

• Collaborate with traders, developers, and researchers to evaluate, validate, and improve models used in proprietary trading strategies.
• Design quantitative methods to gather and analyze market data and statistics for new trading strategies.
• Build research tools, simulations, visualizations, and backtesting frameworks to evaluate hypotheses.
• Formulate trading hypotheses as mathematical and ML models and coordinate integration into trading systems.
• Apply statistical inference, optimization, numerical methods, and financial mathematics to diagnose model behavior and forecast accuracy.
• Identify gaps in existing algorithms and propose new approaches to improve pricing, execution, risk, or performance.
• Define design requirements for new quantitative algorithms, including inputs, assumptions, and impact.
• Drive complex research projects from problem definition through testing, planning, and post-deployment review.
• Assess production readiness by evaluating statistical evidence, risk, and profitability.
• Prioritize research initiatives by potential PnL impact, feasibility, and strategic value.
• Mentor graduate researchers and interns on algorithm design, trading research, and model validation.

Skills

Statistical inference

Time-series

Optimization

Financial mathematics

Python

Trading systems

Education

Bachelor's degree

Tools

Pandas/NumPy

SciPy

scikit-learn

PyTorch

XGBoost

LightGBM

Job description

IMC Americas, Inc. is hiring multiple Quantitative Researchers for Chicago, IL and New York, NY.

You will collaborate with traders, developers, and researchers to improve models used in proprietary trading strategies through statistical analysis, simulation, and empirical research. You will design methods to analyze market data, build backtesting frameworks, and prototype algorithms, with a focus on forecasting accuracy, risk, and profitability.