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Insurance Quant Jobs in Missouri (NOW HIRING)

Shelter Insurance

Business Data Specialist

Columbia, MO

$101K - $125K/yr

... in a quantitative field such as mathematics, statistics, economics, computer science, or a related discipline is preferred. * Proven experience (4+ years) as a Data Analyst or Insurance Business ...

University of Missouri

Research Scientist

Columbia, MO · On-site

FAPRI provides quantitative analysis of the impact of policies affecting agriculture, food and ... insurance. Analysis extends beyond the U.S. sector to the European Union, Brazil, India and other ...

SupportFinity™

Data Analyst

California, MO · On-site

$80 - $100/hr

Strong quantitative analytical skills, with the ability to derive insights from large data sets ... We offer a comprehensive benefits package that includes medical, dental, and vision insurance; paid ...

Walmart

(USA) Senior, Design Researcher

Noel, MO · On-site

$90K - $180K/yr

This role involves conducting qualitative and quantitative studies, synthesizing data, and ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Senior, Design Researcher

Cassville, MO · On-site

$90K - $180K/yr

This role involves conducting qualitative and quantitative studies, synthesizing data, and ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Principal, Design Researcher

Noel, MO · On-site

$110K - $220K/yr

This role requires deep expertise in qualitative and quantitative research methods, stakeholder ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

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Insurance Quant information

What is an insurance quant?

Insurance quants, or quantitative analysts in the insurance industry, use mathematical, statistical, and computational methods to analyze risk, price insurance products, and optimize investment strategies for insurance companies. They develop models to assess the likelihood of claims, determine appropriate premiums, and ensure the company's financial stability. Insurance quants often work closely with actuaries, but focus more on advanced quantitative techniques and financial modeling. Their work helps insurance firms make data-driven decisions and maintain competitiveness in the marketplace.

How does an insurance quant typically collaborate with underwriters and actuaries in their daily work?

An Insurance Quant frequently works alongside underwriters and actuaries to analyze risks, develop pricing models, and evaluate policy portfolios. Collaboration often involves sharing statistical insights, validating risk assumptions, and refining predictive models to ensure accurate and competitive insurance products. Regular meetings and data-sharing sessions help align quantitative findings with business objectives, enabling the team to make informed decisions on product design, pricing, and risk management. This close teamwork is crucial for integrating advanced analytics into traditional insurance processes and driving innovation within the organization.

What are the key skills and qualifications needed to thrive as an insurance quant, and why are they important?

To thrive as an Insurance Quant, you need strong quantitative skills, a background in mathematics, statistics, or actuarial science, and often an advanced degree such as a master's or PhD. Proficiency with programming languages (like Python or R), statistical modeling tools, and actuarial software is typically required, along with relevant certifications such as actuarial credentials (e.g., SOA, CAS). Excellent problem-solving abilities, attention to detail, and the capacity to communicate complex analyses to non-technical stakeholders are standout soft skills. These competencies are critical for accurately assessing risk, pricing insurance products, and supporting data-driven decision-making in the insurance industry.

What is the difference between Insurance Quant vs Actuary?

AspectInsurance QuantActuary
Required CredentialsAdvanced degrees in mathematics, statistics, or finance; often CFA or FRM certificationsProfessional actuarial certifications (SOA, CAS), exams required
Work EnvironmentQuantitative teams within insurance companies, hedge funds, or consulting firmsInsurance companies, consulting firms, government agencies
Job FocusDeveloping models for risk assessment, pricing, and financial strategiesCalculating insurance premiums, reserving, and risk management
Common Search/ComparisonInsurance Quant vs Actuary

Insurance Quants and Actuaries both work in the insurance industry with a focus on risk and financial modeling. Quants typically use advanced mathematics and programming to develop models, while actuaries focus on pricing and reserving using actuarial exams and certifications. Both roles require strong quantitative skills, but their daily tasks and certifications differ.

What are popular job titles related to Insurance Quant jobs in Missouri?

For Insurance Quant jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Insurance Quant jobs in Missouri look for?

The top searched job categories for Insurance Quant jobs in Missouri are:

Insurance Quant jobs near you
Infographic showing various Insurance Quant job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Quantitative Trading Analyst, Portfolio Management

Saint Louis, MO • On-site

NISA Investment Advisors, LLC
Finance and Insurance • 201 - 500 employees
Learn more about NISA Investment Advisors, LLCexternal

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Overview
NISA Investment Advisors, LLC (NISA) partners with world-leading organizations to design, develop, and manage highly customized, risk-controlled investment strategies across fixed income, equities, and derivatives. With $483 billion assets under management ($299 billion in physical assets and $184 billion in derivatives notional value), NISA actively manages risk for institutional investors, providing clarity to complicated challenges and stability in ever-evolving markets. At NISA, we foster a culture that supports both personal and professional growth, providing opportunities to learn from experienced professionals while contributing meaningful work from the outset. We seek candidates who demonstrate strong quantitative and analytical skills, intellectual curiosity, and a collaborative mindset to join our growing teams.
Responsibilities
Working at the intersection of finance and technology, the Quantitative Trading Analyst will participate in a two-year program, starting June 2027, within NISA's Portfolio Management Department. The Analyst will gain foundational knowledge and understanding of broad asset classes and financial instruments. The Analyst will build upon this foundational knowledge and focus on learning the fundamentals of quantitative investment tools including portfolio construction, risk models, portfolio optimization and quantitative trading signals.
Over time, the Quantitative Trading Analyst contributes to the department by improving existing tools and building new ones. The Analyst works with senior members of the Portfolio Management team to leverage and incorporate these quantitative tools and methods into the investment process, systematically building individualized portfolios to meet clients' varied risk and return objectives. Working in a fast-paced and collaborative environment, the Analyst gains knowledge and experience through formal and informal training.
Qualifications
• Spring 2027 Bachelor's or Master's degree in a field requiring strong analytical and quantitative skills such as Mathematics, Physics, Computer Science, or Statistics
• Candidates must have a strong academic background, and possess a high degree of aptitude in quantitative and analytical thinking
• Proficient in techniques and technologies related to quantitative/statistical analysis (Python, R, C/C++/C#, Java), data management (SQL), and Excel
• Experience with statistical and/or mathematical modeling
• The candidate should be highly curious and comfortable dealing with unstructured problems
• Excellent communication skills
• Ability to work successfully in a team environment
• Drive to perform at a high level under pressure and time constraints
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.

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