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Quantitative Risk Manager Jobs in Geneva, IL (NOW HIRING)

Old Mission

Quantitative Trader (Options)

Chicago, IL · 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 ...

Old Mission

Quantitative FX Trader

Chicago, IL · On-site

$150K - $225K/yr

This Quantitative FX Trader will report directly to a managing partner in Chicago. This trader must be able to demonstrate exemplary decision making skills in addition to superior risk management ...

Wintrust

Risk Management Officer

Rosemont, IL · On-site

Provide independent model risk management and support for the VP of Model Risk as follows: Model ... perform quantitative and qualitative tests to assess models for conceptual soundness ...

Wintrust

Risk Management Officer

Rosemont, IL · Hybrid

Provide independent model risk management and support for the VP of Model Risk as follows: Model ... perform quantitative and qualitative tests to assess models for conceptual soundness ...

William Blair

Risk Analyst

Chicago, IL · Hybrid

Utilize enterprise risk management principles and methodologies to perform quantitative analysis such as risk grading, financial risk, rate of failure. * Collaborate with business partners to ...

Ryan Specialty

Catastrophe Risk Analyst

Chicago, IL

$72K - $90K/yr

Quantitative Analysis * Risk Assessment * Project Management * Insurance Knowledge * Experience with AIR/RMS is preferred Behavioral Skills * Effective Communication * Team-oriented mindset

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All JobsQuantitative Risk JobsQuantitative Risk Manager JobsQuantitative Risk Manager Jobs in Geneva, IL

Quantitative Risk Manager information

See Geneva, IL salary details

$50.3K

$108.9K

$165.9K

How much do quantitative risk manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for quantitative risk manager in Geneva, IL is $108,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $125,900.00 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 popular job titles related to Quantitative Risk Manager jobs in Geneva, IL? For Quantitative Risk Manager jobs in Geneva, IL, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Geneva, IL look for? The top searched job categories for Quantitative Risk Manager jobs in Geneva, IL are:
What cities near Geneva, IL are hiring for Quantitative Risk Manager jobs? Cities near Geneva, IL with the most Quantitative Risk Manager job openings:
Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in Geneva, IL as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 84% In-person, 6% Hybrid, and 10% Remote job distribution, with an average salary of $108,876 per year, or $52.3 per hour.

New Grad Full-Time Quantitative Trader

WallStreetQuants

Chicago, IL • On-site

Full-time

Posted 28 days ago

Job description

About the Role
A proprietary trading firm based in Chicago is seeking a highly motivated New Grad Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking, market intuition, and quantitative problem-solving to identify trading opportunities, manage risk, and contribute to the development of data-driven strategies across global markets.
This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern trading strategies are designed, tested, and executed.
Requirements
Responsibilities
  • Monitor and analyze real-time market data to identify trading opportunities.
  • Support the development, testing, and refinement of quantitative trading strategies.
  • Make fast, data-informed trading decisions while managing risk.
  • Collaborate with traders, researchers, and engineers to improve trading models, tools, and execution systems.
  • Conduct statistical analysis on historical and live market data.
  • Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
  • Participate in trading simulations, training programs, and strategy review sessions.
  • Communicate trade ideas, risks, and performance insights clearly to the team.
  • Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
  • Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Strong quantitative, analytical, and problem-solving skills.
  • Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
  • Ability to make decisions quickly and remain calm under pressure.
  • Strong attention to detail and intellectual curiosity.
  • Excellent communication and teamwork skills.
  • Programming experience in Python or a similar language is preferred.
  • Prior internship, research, trading competition, or personal project experience involving data analysis, markets, or quantitative modeling is a plus but not required.
Ideal Candidate
The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.
Benefits
What We Offer
  • Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
  • Mentorship from experienced traders, researchers, and technologists.
  • Exposure to live markets and real-time trading decision-making.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and impact.
  • Competitive compensation and benefits package.

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