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Entry Level Quantitative Risk Modeler Jobs in Chicago, IL

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading ...

Build and maintain quantitative models to support pricing, underwriting, forecasting, and business ... Exposure to predictive modeling, risk modeling, or actuarial concepts. * Experience building ...

Quantitative Associate

Chicago, IL · On-site

$200K - $350K/yr

Build and maintain quantitative models to support pricing, underwriting, forecasting, and business ... Exposure to predictive modeling, risk modeling, or actuarial concepts. * Experience building ...

Contribute to asset allocation and multi-asset research, including risk/return modeling and scenario analysis * Maintain and enhance existing quantitative research infrastructure and models

Design, test, and deploy quantitative models that drive pricing, risk, and execution in market-making and systematic trading. * Build, improve, and maintain research tools (e.g., Python, Jupyter) for ...

Quantitative Researcher

Chicago, IL · On-site

$140K - $200K/yr

Design, test, and deploy quantitative models that drive pricing, risk, and execution in market-making and systematic trading. * Build, improve, and maintain research tools (e.g., Python, Jupyter) for ...

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Entry Level Quantitative Risk Modeler information

See Chicago, IL salary details

$101K

$174.8K

$267.3K

How much do entry level quantitative risk modeler jobs pay per year?

As of Jun 21, 2026, the average yearly pay for entry level quantitative risk modeler in Chicago, IL is $174,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,600.00 and $205,000.00 per year, depending on experience, location, and employer.
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Quantitative Risk Analyst

Other

Posted 20 days ago


Job description

The Quantitative Risk Team in the Risk Management Department is responsible for developing, analyzing, and back-testing models for clearing initiatives. Daily responsibilities include code release testing, historical data validation, margin and stress testing model validation, and portfolio back-testing. The candidate must have the ability to efficiently, effectively conduct research, analyze problems, formulate and implement solutions, and produce high quality results on time.

Candidates should also be willing to relocate to Chicago at their own costs.


Qualifications:

- Masters in Computer Science, Financial Engineering, Financial Mathematics, Mathematics, Physics, or a related discipline.

- Superb quantitative and analytical background.

- Excellent programming, communication, and documentation skills.

- Knowledge of financial markets.

- Work experience or education in advanced quantitative risk modeling and knowledge of statistical models in risk management preferred.

- Work experience or education in advanced derivatives modeling and knowledge of volatility models preferred.

- Work experience or education in curve construction and data validation preferred.