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Quantitative Risk Manager Jobs in Illinois (NOW HIRING)

Collaborate cross-functionally with technology, risk management, and operations teams to support ... Strong quantitative and analytical skills; proficiency in Python, R, MATLAB, or similar programming ...

Primary Purpose The Quantitative Analyst for the Utility of the Future will design and develop proprietary simulation models to support portfolio valuation, pricing, risk management, and overall ...

Build desk tooling for pricing, risk management, and opportunity identification. * Manage a ... Work closely with other traders, quants and developers. * Leverage a sophisticated trading platform ...

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 ...

Quantitative Trader (Options)

Chicago, IL ยท On-site

$150K - $200K/yr

Build desk tooling for pricing, risk management, and opportunity identification. * Manage a ... An undergraduate or an advanced degree in a quantitative field such as computer science ...

Uses quantitative methods to research modeling methodology for the development, refinement and ... Minimum of 3 years of experience in risk management modeling or advanced analytics and in-depth ...

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Showing results 1-20

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 Investment Analyst

Magnetar

Evanston, IL โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

About Magnetar
Magnetar is a leading global alternative asset manager with ~$18B AUM as of January 1, 2026. We are based in Evanston, IL-just north of Chicago and easily accessible by the "L"-with additional offices in New York, London, Menlo Park, CA, and Austin, TX.
Grounded in two decades of investing experience, we aim to generate consistent performance for our investors by identifying differentiated investment opportunities and building scalable businesses across our core strategies: Alternative Credit and Fixed Income, Quantitative Investing, and Venture.
Magnetar employees are among the best in the business at what they do. Our employees thrive on intellectual curiosity, collaboration and identifying creative solutions to complex problems. Our team is made up of highly skilled, passionate professionals who care deeply about delivering results for our investors, our firm and one another. We are proud to foster an inclusive, welcoming environment that empowers each employee to succeed.
At Magnetar, our commitment to our employees matches our dedication to our work. We offer top-tier benefits including comprehensive health, dental and vision insurance, a 401k match, competitive paid time off, wellness programs, daily lunches, and professional development through Magnetar University. We are also passionate about giving back, supporting financial education and community engagement through our Foundation and various volunteer initiatives.
We hope you'll consider joining us as you explore a career at Magnetar!
Position Overview
Magnetar's Quantitative Investing team is seeking a driven, intellectually curious Quantitative Investment Analyst to join our team. This individual will collaborate closely with portfolio managers and researchers to research, develop, and refine systematic investing strategies across the full landscape - including but not limited to convertible, statistical, risk, and volatility arbitrage. The ideal candidate is a highly motivated self-starter with a genuine passion for finance and investing, who thrives in a fast-paced, intellectually demanding environment.
Responsibilities
  • Research, develop, and back-test quantitative arbitrage strategies - including convertible, statistical, volatility, and related approaches - across equities, fixed income, credit, and other asset classes
  • Support, and where needed serve as a back-up for, the Risk Arbitrage desk - independently initiating research while carrying out assigned tasks/analysis
  • Analyze large datasets to identify and validate alpha signals, risk factors, and portfolio construction insights using statistical and machine learning techniques
  • Partner with portfolio managers to translate research findings into actionable investment insights and implement strategies within the portfolio
  • Monitor and evaluate the ongoing performance of quantitative models, identifying degradation and proposing enhancements as market conditions evolve
  • Stay current on developments in quantitative finance, market microstructure, and macroeconomic trends, proactively sharing insights with the team
  • Collaborate cross-functionally with technology, risk management, and operations teams to support the full investment lifecycle
  • Design and deploy AI-powered tools and agentic workflows - including fine-tuned LLMs - to enhance research automation, alternative data processing, and investment decision support

Qualifications
  • Bachelor's or advanced degree in Mathematics, Statistics, Engineering, Computer Science, Finance, Economics, or a related quantitative field
  • 3-5 years of direct, hands-on experience at a hedge fund or institutional buy-side or sell-side firm, with meaningful exposure to a quantitative strategy desk - such as Risk Arbitrage, Convertible Bond Arbitrage, Volatility Arbitrage, Statistical Arbitrage, or a comparable quantitative strategy
  • Demonstrable first-hand knowledge of Risk Arbitrage with the ability to independently initiate and carry out research and back up the Risk Arb desk
  • Working knowledge of, and the ability to conduct research across, the broader arbitrage landscape - convertible, statistical, and volatility arbitrage in particular
  • Strong quantitative and analytical skills; proficiency in Python, R, MATLAB, or similar programming languages, with hands-on experience in statistical modeling, time-series analysis, or machine learning
  • Solid understanding of financial concepts including portfolio theory, risk/return frameworks, financial instruments, and market dynamics across asset classes
  • Financial acumen and demonstrated curiosity about investing - someone who reads financial news, thinks critically about market dynamics, and is genuinely passionate about all things finance
  • Highly driven, proactive self-starter who takes initiative, operates with urgency, and thrives in an environment that rewards intellectual curiosity and independent thinking
  • Excellent communication skills with the ability to translate complex quantitative analysis into clear, actionable insights for both technical and non-technical audiences
  • Familiarity with applied AI/ML techniques in a financial context, including experience fine-tuning large language models (LLMs) and developing agentic workflows to automate research, data extraction, or investment processes

The annual base salary range for this position is $125,000 to $200,000 USD. The actual base salary will depend upon the candidate's relevant experience, qualifications, skills, business needs and market. This role may be eligible for a discretionary bonus and if awarded is based on a variety of factors including firm and individual performance.
Applicants must be authorized to work in the United States without the need for employer sponsorship now or in the future.
Disclaimer
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
AI Disclaimer
Magnetar uses AI tools such as Claude, an AI assistant developed by Anthropic, to support certain recruiting and talent acquisition activities, such as tracking candidates' status in the recruiting process, interviewer preparation, and interviewer feedback consolidation.These tools may facilitate recruiting and hiring-related processes. Information processed may include application materials, resumes, interview notes, interviewer feedback, candidate status information, and related communications. Magnetar uses an enterprise version of Claude that operates in a closed-loop environment and does not permit information processed by the system to be publicly available.
The AI tool currently used for these purposes is Claude, an AI assistant developed by Anthropic. Magnetar uses AI for the following types of positions: exempt positions.
Hiring decisions are made by authorized Magnetar personnel. No AI tool makes or determines any employment decision. AI-generated output is used only as a support tool and is subject to human review. Magnetar does not rely solely on AI-generated output, including any score, tag, classification, ranking, recommendation, or similar output, with no other factors considered. Magnetar also does not use any such output as one of a set of criteria where the AI-generated output is weighted more than any other criterion, or to overrule conclusions derived from other factors, including human decision-making.
Magnetar will not use artificial intelligence with respect to recruitment, hiring, promotion, renewal of employment, selection for training or apprenticeship, discharge, discipline, tenure, or the terms, privileges, or conditions of employment in a manner that has the effect of subjecting employees or applicants to discrimination on the basis of protected classes under the Illinois Human Rights Act or any other appliable law, or use zip codes as a proxy for protected characteristics.
Fraudulent Job Alert
Magnetar is aware of fraudulent job post schemes, such as phishing emails, that invite candidates to apply and interview for positions at Magnetar. We take this matter very seriously. Please be aware that Magnetar does not send unprompted emails soliciting applications or offering interviews. If you have applied for a position at Magnetar through our Careers Page, any follow up communication will come from "@magnetar.com". Any emails from accounts that do not end in "@magnetar.com" are fraudulent. Suspicious messages can be reported to Magnetar at careers@magnetar.com.