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

Compeer Financial

AI Product Manager

Bloomington, IL · On-site

You'll work across product, technology, data, business, risk and other partners to turn promising ... Define what success looks like and use qualitative and quantitative evidence to determine whether ...

Varsity Tutors

CFP Tutor

Normal, IL · Remote

$40/hr

... risk management and insurance, investment planning, tax planning, retirement savings and planning ... and quantitative calculation approaches for CFP examination. Guides students through analyzing ...

Varsity Tutors

Business Statistics Tutor

Normal, IL · Remote

$40/hr

... quantitative coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ... management, and financial risk analysis. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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

Quantitative Risk Manager information

See Normal, IL salary details

$50.4K

$109.1K

$166.2K

How much do quantitative risk manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for quantitative risk manager in Normal, IL is $109,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $126,100.00 per year, depending on experience, location, and employer.

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.

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 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 job categories do people searching Quantitative Risk Manager jobs in Normal, IL look for?

The top searched job categories for Quantitative Risk Manager jobs in Normal, IL are:

What cities near Normal, IL are hiring for Quantitative Risk Manager jobs?

Cities near Normal, IL with the most Quantitative Risk Manager job openings:

Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in Normal, IL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $109,064 per year, or $52.4 per hour.

Senior Business Intelligence Analyst

Bloomington, IL • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 4 days ago

Job description

  • Build and maintain optimized data foundations for analysis and reporting
  • Establish Agency program structures and monitor program health
  • Provide quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision makers
  • Collect, aggregate, and analyze data from multiple internal and external sources
  • Use analytics and metrics to improve processes and forecast potential costs, risk, and profits of new initiatives
  • Identify, analyze, and interpret trends or patterns
  • Prepare ongoing reports and data visualizations, including charts, dashboards, and heat maps
  • Design and produce actionable reports defining, building, and visualizing KPIs
  • Display root cause analysis and identify areas of improvement
  • Synthesize data to develop actionable insights and recommendations
  • Use visualization, storytelling, and prescriptive insights with data
  • Design, develop, test, and launch new data products and dashboards into production
  • Collaborate across various functional areas and manage multiple projects simultaneously
Requirements
  • Typically requires 7+ years of relevant experience or a combination of related experience, education and training
  • Insurance industry knowledge
  • Ability to extract and analyze data within both a traditional and big data environment
  • Data analytics and quantitative/qualitative reasoning
  • Experience creating and analyzing data visualizations for the purpose of generating insights
  • Proficiency in SQL, Tableau, Python, Git, data storytelling and forecasting
  • Computer proficiency including working knowledge of Microsoft Office, database technology, analytics and business intelligence
  • Good project management skills, including the ability to manage multiple projects simultaneously, organize efficiently, establish priorities and attend to details
  • Excellent written, verbal, and interpersonal communication skills, including presentation skills and the ability to work collaboratively across various functional areas
  • Strong data analysis skills, including ability to rapidly learn new data assets
  • Experience with data tools such as SQL, Tableau, and Hadoop/Hive environment
  • Proficiency with analysis and output verification techniques
  • Familiarity with relational database systems such as SQL Server, DB2, MySQL, and MS Access
  • Strong operational, organizational, analytical, and technical skills
  • Must be a team player
Core Competencies

Demonstrates expertise in data analytics, including proficiency in SQL, Tableau, and Python, to build and maintain optimized data foundations for analysis and reporting. Capable of synthesizing data to develop actionable insights and recommendations while managing multiple projects in the insurance industry.

Highest-signal resume keywords
  • Data Analytics
  • SQL Proficiency
  • Tableau Visualization
  • Project Management
  • Insurance Industry Knowledge
Hard Skills
  • Data Analysis
  • Quantitative Reasoning
  • Qualitative Reasoning
  • Data Visualization
  • Forecasting
  • Root Cause Analysis
  • KPI Development
  • Data Storytelling
  • Output Verification Techniques
  • Big Data Analysis
Soft Skills
  • Excellent Communication Skills
  • Interpersonal Skills
  • Organizational Skills
  • Team Player
  • Attention to Detail
Industry Keywords
  • Insurance Industry
  • Data Foundations
  • Analytics
  • Business Intelligence
  • Data Products
Tools & Technologies
  • SQL
  • Tableau
  • Python
  • Git
  • Microsoft Office
  • Hadoop
  • Hive
  • SQL Server
  • DB2
  • MySQL
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