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

Fraud Risk Analytics Manager

Chicago, IL · Hybrid

$106K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Sr. Quantitative Finance Manager

Chicago, IL · On-site

$112K - $153K/yr

Sets quantitative work priorities in line with the bank's overall strategy and prioritization ... Risk Manager: Inspects and challenges risk controls, governance and culture to ensure the timely ...

Sr. Quantitative Finance Manager

Chicago, IL · On-site

$112K - $153K/yr

Sets quantitative work priorities in line with the bank's overall strategy and prioritization ... Risk Manager: Inspects and challenges risk controls, governance and culture to ensure the timely ...

Global Head of Risk Management

Chicago, IL · On-site

$225K - $300K/yr

Interpret and utilize quantitative results from risk reporting efforts and communicate these effectively * Work directly with traders and senior management on escalated risk issues * Collaborate with ...

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 ...

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 ...

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Showing results 1-20

Quantitative Risk Manager information

See Chicago, IL salary details

$53.1K

$114.9K

$175.1K

How much do quantitative risk manager jobs pay per year?

As of Jul 23, 2026, the average yearly pay for quantitative risk manager in Chicago, IL is $114,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,700.00 and $132,900.00 per year, depending on experience, location, and employer.

What can I do with a quantitative risk management degree?

A degree in quantitative risk management prepares individuals for roles such as risk analyst, risk manager, or quantitative analyst in finance, insurance, or consulting firms. These roles involve assessing and modeling financial risks using statistical tools, programming languages like Python or R, and risk management frameworks. Professionals in this field often work with regulatory compliance and may pursue certifications like FRM or PRM.

What is the salary of a quant risk manager?

A quantitative risk manager's salary typically ranges from $100,000 to $200,000 annually, with higher compensation often associated with experience, advanced degrees, and certifications such as FRM or CFA. In addition to base salary, bonuses and performance incentives can significantly increase total compensation in this role.

What does a quantitative risk manager do?

A quantitative risk manager analyzes financial data and models to identify, measure, and manage risks within an organization. They use statistical techniques, programming skills, and risk management tools to develop strategies that minimize potential losses and ensure regulatory compliance.

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.

How much do quant risk managers make?

Quantitative risk managers typically earn between $100,000 and $200,000 annually, with senior roles and those in major financial centers earning higher salaries. Compensation often includes bonuses and benefits, and strong skills in mathematics, programming, and risk modeling are essential for higher-paying positions.

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 Chicago, IL? The most popular types of Quantitative Risk jobs in Chicago, IL are:
What are popular job titles related to Quantitative Risk Manager jobs in Chicago, IL? For Quantitative Risk Manager jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Chicago, IL look for? The top searched job categories for Quantitative Risk Manager jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Quantitative Risk Manager jobs? Cities near Chicago, IL with the most Quantitative Risk Manager job openings:
Infographic showing various Quantitative Risk Manager job openings in Chicago, IL as of July 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $114,919 per year, or $55.2 per hour.
Fraud Risk Analytics Manager

Fraud Risk Analytics Manager

Citizens

Chicago, IL • Hybrid

$106K - $130K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 hours ago


Job description

Description

We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to developing a holistic understanding of customer behavior and translating that understanding into intelligent decisioning and colleague decision support across fraud prevention, risk management, and product experiences.

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering practical, scalable solutions under time constraints and scope changes. This individual will partner closely with business leaders, first- and second-line risk teams, fraud operations, and product to drive measurable fraud risk reduction and improved customer outcomes.

Key Responsibilities

  • Discover, Design, develop, and execute fraud risk strategy optimization frameworks, including rule, model, and hybrid decisioning approaches
  • Perform entitylevel fraud state estimation across customers, accounts, devices, and networks to enable consistent, enterprisewide fraud understanding
  • Translate complex fraud signals into actionable insights and decision support for colleagues across business, risk, and operations
  • Partner with first- and second-line risk teams to ensure strategies are transparent, explainable, and wellgoverned
  • Collaborate with operations and product teams to ensure well-defined objective functions which are operationally viable and aligned with customer experience goals
  • Communicate findings clearly to both technical and nontechnical audiences, influencing decisionmaking at multiple levels
  • Champion innovation by testing new analytical approaches while maintaining disciplined execution and production readiness

Required Qualifications

  • 5+ years of experience in fraud analytics, fraud risk management, or financial crime data science
  • Strong experience with fraud detection, prevention, and decisioning systems in complex environments
  • Demonstrated ability to balance risk reduction, customer experience, and operational efficiency
  • Proven track record of independent problemsolving, ownership, and delivery in ambiguous problem spaces
  • Excellent communications (oral and written), interpersonal/business partnering, and organizational skills
  • Demonstrates courage, innovation, and high productivity
  • Bachelor's degree in Operations Management, Mathematics, Statistics, Actuarial Sciences, Economics or other quantitative, business or technical discipline

Technical Skills

  • Advanced SQL for data extraction, transformation, and analysis
  • Strong Python skills for data analysis, modeling, and pipeline development
  • Solid foundation in data science and statistical learning, including: 
    • Classification and regression techniques
    • Feature engineering
    • Model evaluation and performance monitoring

Preferred Qualifications

  • Experience with fraud strategy optimization, challenger testing, or decision policy design
  • Familiarity with entity resolution, graph/network analytics, or customercentric risk frameworks
  • Experience operating within regulated environments and risk governance structures
  • Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative, business or technical discipline preferred

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: 8:00am-5:00pm Monday - Friday

Pay Transparency 

The salary range for this position is $106,000 - $130,000 per year. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits

This role is not eligible for new employersponsored or current H-1 B visa holders. Applicants, including current OPT, L and other visa holders, must be authorized to work in the U.S. without the need for new employer sponsorship for themselves or their spouses now and in the future.

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST