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Insurance Quant Jobs in Missouri (NOW HIRING)

$97K - $128K/yr

Conduct user research and leverage quantitative data to identify customer pain points, emerging ... Previous experience in insurance technology, insurance products, or related financial services ...

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 ...

(USA) Director, Design Research

Anderson, MO ยท On-site

$130K - $260K/yr

This role oversees qualitative and quantitative research methodologies, synthesizes insights, and ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Principal, Design Researcher

Noel, MO ยท 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 ...

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 ...

(USA) Director, Design Research

Cassville, MO ยท On-site

$130K - $260K/yr

This role oversees qualitative and quantitative research methodologies, synthesizes insights, and ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Principal, Design Researcher

Anderson, MO ยท 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 ...

(USA) Director, Design Research

Noel, MO ยท On-site

$130K - $260K/yr

This role oversees qualitative and quantitative research methodologies, synthesizes insights, and ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

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Showing results 1-20

Insurance Quant information

What are insurance quants?

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.

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.

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 popular job titles related to Insurance Quant jobs in Missouri? For Insurance Quant jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Insurance Quant jobs? Cities in Missouri with the most Insurance Quant job openings:
Senior Software Engineer- Quantitative Developer, Information Technology

Senior Software Engineer- Quantitative Developer, Information Technology

NISA Investment Advisors, L.L.C.

Saint Louis, MO โ€ข On-site

$119K - $157K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Senior Software Engineer- Quantitative Developer

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 โ€” 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.