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Quantitative Risk Manager Jobs in Illinois (NOW HIRING)

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 ...

Ensure ongoing oversight and deliverance of an effective risk management monitoring program through review, metrics, analysis and preparation of qualitative/quantitative risk assessments and ...

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Quantitative Risk Manager information

See Illinois salary details

$49.9K

$108.1K

$164.7K

How much do quantitative risk manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for quantitative risk manager in Illinois is $108,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $125,000.00 per year, depending on experience, location, and employer.

How does a Quantitative Risk Manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

What is a Quantitative Risk Manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

What is the difference between Quantitative Risk Manager vs Quantitative Analyst?

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

What are the most commonly searched types of Quantitative Risk jobs in Illinois? The most popular types of Quantitative Risk jobs in Illinois are:
What job categories do people searching Quantitative Risk Manager jobs in Illinois look for? The top searched job categories for Quantitative Risk Manager jobs in Illinois are:
What cities in Illinois are hiring for Quantitative Risk Manager jobs? Cities in Illinois with the most Quantitative Risk Manager job openings:
Infographic showing various Quantitative Risk Manager job openings in Illinois as of May 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $108,101 per year, or $52 per hour.
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.