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Entry Level Quantitative Risk Modeler Jobs (NOW HIRING)

Take ownership of model(s) including accurate position assessment with understanding of contract maturity behavior and seasonality. Streamline and improve processes such as data quality checks and ...

Main Responsibilities • Develop and implement quantitative risk models and metrics for trading operations. • Take ownership of model(s) including accurate position assessment with understanding ...

Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios. * Build and enhance models for ...

Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios. * Build and enhance models for ...

Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios. * Build and enhance models for ...

Develop and maintain quantitative models for valuation, exposure measurement, and risk assessment across physical and financial natural gas, LNG, and power portfolios. * Build and enhance models for ...

... model development experience in programming languages such as C#, Python, and VBA is a must. • ... services quantitative risk management; will consider recent graduates if able to present similar ...

The role contributes to key components of the model development lifecycle-including data ... Scope of Responsibilities Works under general guidance from more senior quantitative risk managers.

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Entry Level Quantitative Risk Modeler information

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$98K

$169.7K

$259.5K

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

As of Jun 27, 2026, the average yearly pay for entry level quantitative risk modeler in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.
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Quantitative Risk Analyst

Quantitative Risk Analyst

Informatic Technologies, Inc.

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.


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.