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Intern Quantitative Risk Modeler Jobs in Chicago, IL

Specialist, Investment Risk

Chicago, IL · Hybrid

$137K - $233K/yr

Understand and enhance risk models for equities and derivatives, utilizing advanced quantitative techniques to assess and manage risk exposure. Eg. Factor-based risk * Document policies, procedures ...

Specialist, Investment Risk

Chicago, IL · Hybrid

$137K - $233K/yr

Understand and enhance risk models for equities and derivatives, utilizing advanced quantitative techniques to assess and manage risk exposure. Eg. Factor-based risk * Document policies, procedures ...

Specialist, Investment Risk

Chicago, IL · On-site

$137K - $233K/yr

Understand and enhance risk models for equities and derivatives, utilizing advanced quantitative techniques to assess and manage risk exposure. Eg. Factor-based risk * Document policies, procedures ...

... qualitative/quantitative risk assessments and reporting. * Remain current with Model Risk ... regulatory guidance and industry best practices as well as emerging industry-wide risks via public ...

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Intern Quantitative Risk Modeler information

See Chicago, IL salary details

$14

$18

$27

How much do intern quantitative risk modeler jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for intern quantitative risk modeler in Chicago, IL is $18.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $19.81 per hour, depending on experience, location, and employer.
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 Analyst

Quantitative Risk Analyst

Informatic Technologies, Inc.

Chicago, IL • On-site

Other

Posted 22 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.