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Quantitative Risk Manager Jobs in Missouri (NOW HIRING)

Process Safety Engineer

Cadet, MO ยท On-site

$110K - $125K/yr

The Process Safety Engineer is responsible for leading and managing process safety initiatives to ... Risk Assessment & Incident Investigation * Perform qualitative and quantitative risk assessments ...

You should possess the following skills: - Should have worked in a project engineer position - Cost and Schedule Metrics - Risk Management (Quantitative Risk Analysis Matrices [QRAMs]) - Scheduling ...

Financial Risk Senior Consultant

Kansas City, MO ยท On-site

$113.70K/yr

Support management of workstreams on complex engagements, partnering with client counterparts and ... Advanced degree and/or certification (e.g., Quant MS, MBA, FRM, CFA, CRCM, CPA, PMP). * Expertise ...

Have demonstrated quantitative risk assessment (QRA) experience and expertly interpret and ... Have a degree or comparable experience in a project management or construction discipline * Have ...

Have demonstrated quantitative risk assessment (QRA) experience and expertly interpret and ... Have a degree or comparable experience in a project management or construction discipline * Have ...

New

... quantitative and qualitative analysis. * Act as a trusted advisor to senior executives, helping organizations align cyber risk management strategies with business priorities. Requirements: * 12 ...

What They're Looking For Bachelor's degree in a quantitative field. FSA (or nearFSA) with ~7+ years of actuarial experience. Expertise in FA/FIA pricing, valuation, or risk management. Familiarity ...

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Showing results 1-20

Quantitative Risk Manager information

See Missouri salary details

$48.3K

$104.6K

$159.5K

How much do quantitative risk manager jobs pay per year?

As of May 30, 2026, the average yearly pay for quantitative risk manager in Missouri is $104,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $121,000.00 per year, depending on experience, location, and employer.

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 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 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 Missouri? For Quantitative Risk Manager jobs in Missouri, the most frequently searched job titles are:
Infographic showing various Quantitative Risk Manager job openings in Missouri as of May 2026, with employment types broken down into 5% As Needed, 61% Full Time, 27% Part Time, 2% Temporary, and 5% Contract. Highlights an 14% Physical, 14% Hybrid, and 72% Remote job distribution, with an average salary of $104,640 per year, or $50.3 per hour.
Senior Software Engineer- Quantitative Developer, Information Technology

Senior Software Engineer- Quantitative Developer, Information Technology

NISA Investment Advisors, LLC

Saint Louis, MO โ€ข On-site

$114.70K - $151.20K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Overview
NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $295 billion in fixed income and equity securities and over $167 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking skills, strong analytical and quantitative skills, and team playing abilities are encouraged to apply.
Responsibilities
As a Senior Software Engineer- Quantitative Developer in the Investment Risk and Analytics team, you will design and build the infrastructure that powers NISA's analytics and quantitative research workflows. Working closely with portfolio analysts, traders, and quant researchers, you will develop the tooling behind feature engineering frameworks, backtesting infrastructure, and model deployment - enabling the research team to move faster and with greater confidence. You will also work with teams to develop the core analytical systems to support risk and valuation tools. As a senior member of the Investment Risk and Analytics team within NISA's IT department, you will lead development efforts, participate in design and code reviews, collaborate with other teams, and mentor junior teammates.
Qualifications
  • Bachelor's degree or equivalent experience in a field requiring strong analytical and quantitative skills, such as Computer Science, Engineering, Mathematics, Finance, or Information Systems
  • 5+ years of development experience including 3+ years of using Python (expertise in other high-level languages considered)
  • Experience designing queries and data structures to support and manage analytical model development
  • Experience collaborating with quantitative researchers, data scientists, or similar technical stakeholders
  • Ability to analyze results and detect data quality issues and their root causes
  • Experience building solutions using public cloud platforms (AWS, Azure, GCP) preferred
  • Familiarity with quantitative finance workflows - backtesting, feature engineering, factor research, or portfolio analytics is a plus
  • Experience with unit testing and CI/CD practices preferred
  • Familiarity with data science is a plus
  • Working knowledge of modern application frameworks is a plus
  • Previous professional experience in financial services sector is a plus

NISA's culture encourages collaboration and innovation. We seek self-motivated, intellectually curious individuals willing to push themselves and others in an environment that celebrates fresh thinking. We equip employees with the resources needed to excel and we encourage personal development. NISA is dedicated to internally cultivating and rewarding talent. Employees at NISA are provided with a wide range of benefits, including health, dental, vision and life insurance options, paid time off, a competitive retirement plan, onsite cafeteria, fitness center, a health and wellness program and an educational assistance program.
NISA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.