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Seasonal Quantitative Risk Modeler Jobs in Chicago, IL

... models. Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened ... What you'll do as a Junior Quantitative Risk Analyst at Akuna: We are looking for a motivated and ...

... models. Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened ... What you'll do as a Junior Quantitative Risk Analyst at Akuna: We are looking for a motivated and ...

Chief Risk Officer

Chicago, IL · On-site

$259.25 - $320.25/hr

Develop the quantitative risk methodology and requirements for the Clearinghouse margin model, stress testing, and default management as new products are launched. * Enhance model and financial ...

Quantitative Modeler Manager - AML

Chicago, IL

$56.50 - $73.25/hr

S. Bank Model Risk Governance standards, and collaborating with Model Risk Validation to address ... Basic Qualificati ons - Bachelor's degree in a quantitative field, and 10 or more years of relevant ...

Develop the quantitative risk methodology and requirement for the Clearinghouse margin model, stress testing, and default management in developing new products, ensuring risk methodologies remain ...

Develop the quantitative risk methodology and requirement for the Clearinghouse margin model, stress testing, and default management in developing new products, ensuring risk methodologies remain ...

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 ...

Quantitative Trader - Futures

Chicago, IL · On-site

$150K - $250K/yr

DRW is seeking a Senior Quantitative Trader (Delta One) to join the FICCO options trading business ... Strong understanding of derivatives pricing, volatility dynamics, and risk modeling * Deep ...

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Seasonal Quantitative Risk Modeler information

See Chicago, IL salary details

$101K

$174.8K

$267.3K

How much do seasonal quantitative risk modeler jobs pay per year?

As of Aug 2, 2026, the average yearly pay for seasonal 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.

What is the difference between Seasonal Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectSeasonal Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsBachelor's or Master’s in Finance, Mathematics, or related field; certifications like FRM or CFA often preferredBachelor's or Master’s in Finance, Mathematics, or related field; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, risk management teams, often seasonal or project-basedFinancial firms, investment banks, risk departments, with ongoing risk analysis duties
Employer & Industry UsageUsed in banking, insurance, asset management for seasonal risk assessmentCommon in banking, hedge funds, and asset management for continuous risk monitoring

The Seasonal Quantitative Risk Modeler focuses on developing models to assess risks during specific seasons or periods, often working on short-term projects. In contrast, the Quantitative Risk Analyst performs ongoing risk analysis and monitoring across various timeframes. Both roles require similar credentials but differ mainly in scope and seasonal focus.

What are the most commonly searched types of Quantitative Risk Modeler jobs in Chicago, IL? The most popular types of Quantitative Risk Modeler jobs in Chicago, IL are:

Quantitative Risk Management Consultant

Informatic Technologies

Chicago, IL • On-site

Other

Re-posted 12 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.