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Entry Level Quantitative Risk Modeler Jobs in Illinois

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 ...

Quantitative Software Developer

Chicago, IL · On-site +1

$120K - $170K/yr

Quantitative Software Developer l No Sponsorship Available Details Compensation: $120,000 - $170 ... Build reusable tools for optimization, risk modeling, and constraints * Support research workflows ...

Back test models and support risk management and product development efforts, specifically, work in ESG-related monitoring and modeling. Develop and support quantitative stock selection models.

Uses quantitative methods to research modeling methodology for the development, refinement and parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to identify ...

Uses quantitative methods to research modeling methodology for the development, refinement and parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to identify ...

Uses quantitative methods to research modeling methodology for the development, refinement and parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to identify ...

Supports model development and model risk management in respective focus areas to support business ... As a Quantitative Finance Analyst on the Global Financial Crimes Modeling and Analytics team, your ...

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

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Entry Level 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:
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Quantitative Risk Management Consultant

Quantitative Risk Management Consultant

Informatic Technologies

Chicago, IL

Other

Posted 18 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.