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Chicago, Illinois, United States
Onsite
Not Available
Partner closely with traders to identify, monitor, and manage risk across a wide range of trading strategies
Monitor and analyze market, credit, capital, and operational risks across IMC's portfolios
Develop and enhance risk methodologies for products including equities, ETFs, futures, and other exchange-traded instruments
Analyze concentration risk, tail-event scenarios, and other portfolio-level exposures to improve risk visibility and decision-making
Build and enhance quantitative risk tools, reporting, and monitoring frameworks using Python
Partner with software engineering teams to improve risk infrastructure and automate risk workflows
Work closely with traders to evaluate new strategies, products, and markets while ensuring appropriate risk controls are in place
Challenge existing processes and propose new frameworks that improve how IMC understands and manages risk
5+ years of experience in financial risk management, quantitative risk, or a related front-office risk function
Experience supporting exchange-traded products such as equities, ETFs, futures, or other linear products
Familiarity with Delta One trading strategies
Strong analytical and quantitative problem-solving skills
Proficiency in Python for data analysis, risk analytics, or automation
Working knowledge of SQL is preferred
Ability to communicate complex quantitative concepts to traders, engineers, and business stakeholders
Comfortable working in a highly collaborative, fast-paced environment with significant ownership and autonomy
FINRA SIE and Series 57, or willingness to obtain them after joining IMC
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.