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Intern Quantitative Risk Modeler Jobs in Illinois

... 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 ...

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 ...

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Intern Quantitative Risk Modeler information

What are the most commonly searched types of Quantitative Risk Modeler jobs in Illinois? The most popular types of Quantitative Risk Modeler jobs in Illinois are:
What cities in Illinois are hiring for Intern Quantitative Risk Modeler jobs? Cities in Illinois with the most Intern Quantitative Risk Modeler job openings:

Quantitative Risk Management Consultant

Informatic Technologies

Chicago, IL • On-site

Other

Re-posted 14 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.