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Insurance Quant Jobs in Virginia (NOW HIRING)

Quantitative Analyst - Junior Level Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a ... ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety ...

Quantitative Analyst - Junior Level Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a ... ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety ...

We pride ourselves on our quantitative, data-driven approach to insurance. Our Analytics & Actuarial team works directly with other business segments to drive both profitability and operational ...

We pride ourselves on our quantitative, data-driven approach to insurance. Our Analytics & Actuarial team works directly with other business segments to drive both profitability and operational ...

We pride ourselves on our quantitative, data-driven approach to insurance. Our Analytics & Actuarial team works directly with other business segments to drive both profitability and operational ...

We pride ourselves on our quantitative, data-driven approach to insurance. Our Analytics & Actuarial team works directly with other business segments to drive both profitability and operational ...

Managing Actuary

Richmond, VA · On-site

$115.80K - $136.20K/yr

Join Kinsale Insurance, a leading excess and surplus (E&S) lines carrier headquartered in Richmond, VA. We're known for our quantitative, high-performance culture and our commitment to building teams ...

Managing Actuary

Richmond, VA

$115.80K - $136.20K/yr

Join Kinsale Insurance, a leading excess and surplus (E&S) lines carrier headquartered in Richmond, VA. We're known for our quantitative, high-performance culture and our commitment to building teams ...

... quantitative analytics used to assess and monitor the credit risk of our diverse counterparty ... This portfolio includes traditional banking institutions, mortgage insurance (MI) providers, and ...

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Showing results 1-20

Insurance Quant information

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.

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 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 is a quant in insurance?

An insurance quant is a professional who applies mathematical, statistical, and financial models to assess risk, price policies, and develop strategies for insurance companies. They often use programming tools like R or Python and require strong analytical skills to interpret large data sets and improve underwriting and risk management processes.

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 job categories do people searching Insurance Quant jobs in Virginia look for? The top searched job categories for Insurance Quant jobs in Virginia are:
What cities in Virginia are hiring for Insurance Quant jobs? Cities in Virginia with the most Insurance Quant job openings:

Quantitative Analyst - Junior Level

ThinkTek

Alexandria, VA • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 19 days ago


Job description

Quantitative Analyst - Junior Level

Who We Are

ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB) specializing in management and technology consulting for Federal Government modernization. We provide tailored solutions in Program & Project Management, Strategic Planning, and IT Operations.

Position Description

We seek a skilled Quantitative Analyst to execute computational models, conduct quantitative analysis, and communicate findings to senior stakeholders. This role emphasizes optimization modeling, operations research, and data-driven analysis supporting defense resource allocation and program evaluation.

Responsibilities
  • Conduct quantitative analysis, statistical modeling, and data validation to support strategic portfolio reviews and program evaluations
  • Execute and interpret optimization models using GAMS and similar tools to support evidence-based decision making
  • Manipulate model parameters to fine-tune outputs, explore solution spaces, and evaluate sensitivity to key assumptions
  • Develop dashboards, visualizations, and refined data models to communicate findings and meet client analytical requirements
  • Optimize data pipelines to improve integrity, query performance, and analysis turnaround time
  • Collaborate with subject matter experts, modeling teams, and government clients to validate assumptions and refine approaches
Required Qualifications
  • Active SECRET clearance
  • Bachelor of Science in STEM with modeling, simulation, and computational methods experience (Alternate: Associate's + 3 years or High School + 5 years)
  • 1+ years in quantitative analysis, operations research, computational modeling, or data science
  • Proficiency in object-oriented programming (Python, R, MATLAB, Java, C++, or C#)
  • Familiarity with optimization concepts and mathematical modeling; ability to run models, interpret outputs, and adjust parameters
  • Strong analytical skills; ability to translate complex technical results into actionable insights
  • Excellent communication skills; ability to work independently and collaboratively in multidisciplinary teams
Desired Qualifications
  • Master of Science in STEM (Operations Research, Industrial Engineering, Applied Mathematics, Statistics, or related field)
  • Experience with GAMS or similar optimization platforms (CPLEX, Gurobi, AMPL, Pyomo)
  • Understanding of linear programming, integer programming, mixed-integer programming, network optimization, and constraint-based optimization
  • Experience with analytical methods (statistics, differential equations, linear algebra, Monte Carlo, stochastic processes) and simulation techniques (discrete event, agent-based, network, Markov processes)

ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety of other paid leave options are also available.