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Insurance Quant Jobs in Bothell, WA (NOW HIRING)

Opendoor

Applied Scientist- Pricing

Seattle, WA · On-site

$156K - $335K/yr

About the Role We're looking for an Applied Scientist to work on some of the hardest quantitative ... insurance, and 401(k) to eligible employees. #LI-RO

PEMCO

Senior Product Analyst

Seattle, WA · On-site

... quantitative field of study) is required. * Graduate or other professional degree or equivalent work experience is preferred. * 3 years of experience in the property and casualty insurance industry ...

Liberty Mutual

Director I, Product Research

Seattle, WA

$265K - $277K/yr

Bachelor's degree in Insurance, Business, Finance, Economics, Statistics, or a related quantitative field * 6+ years of experience in commercial insurance product management, underwriting, or ...

Liberty Mutual

Director I, Product Research

Seattle, WA · On-site

$120K - $225K/yr

Bachelor's degree in Insurance, Business, Finance, Economics, Statistics, or a related quantitative field * 6+ years of experience in commercial insurance product management, underwriting, or ...

SpaceX

Sr. Business Analyst (Starlink Growth)

Redmond, WA · On-site +1

$115K - $150K/yr

Our ideal candidate is a proactive analyst with a blend of quantitative skills and curiosity for ... and long-term disability insurance, life insurance, paid parental leave, and various other ...

SpaceX

Sr. Business Analyst (Starlink Growth)

Redmond, WA · On-site

$115K - $150K/yr

Our ideal candidate is a proactive analyst with a blend of quantitative skills and curiosity for ... and long-term disability insurance, life insurance, paid parental leave, and various other ...

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Showing results 1-20

All JobsInsurance Quant JobsInsurance Quant Jobs in Bothell, WA

Insurance Quant information

See Bothell, WA salary details

$109.6K

$189.7K

$290.1K

How much do insurance quant jobs pay per year?

As of Jul 21, 2026, the average yearly pay for insurance quant in Bothell, WA is $189,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,400.00 and $222,500.00 per year, depending on experience, location, and employer.

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 job categories do people searching Insurance Quant jobs in Bothell, WA look for? The top searched job categories for Insurance Quant jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Insurance Quant jobs? Cities near Bothell, WA with the most Insurance Quant job openings:
Insurance Quant jobs near you
Quantitative Analyst (COMPASS Modeling)

Quantitative Analyst (COMPASS Modeling)

AIS, Inc.

Seattle, WA • On-site

Full-time

Medical, Dental, PTO

Posted 5 days ago

Job description

A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is looking for a Quantitative Analyst (Comprehensive Passage (COMPASS) modeling) to support National Oceanic and Atmospheric Administration (NOAA) Fisheries, Northwest Fisheries Science Center (NWFSC), Fish Ecology Division (FE).
Primary Function:
The Quantitative Analyst supports the FED by developing and advancing the Comprehensive Passage (COMPASS) model to evaluate the effects of stressors and management actions across fish life cycles in river systems. This position applies statistical modeling, computer modeling, quantitative ecological analysis, and other quantitative modeling techniques to produce management-ready products that inform ESA litigation responses, permitting decisions, and hydrosystem management for Pacific salmon in the Columbia River basin and other West Coast systems. This position is contingent upon contract award and available funding.
Duties / Responsibilities:
  • Develop and advance the Comprehensive Passage (COMPASS) model for application in river systems to evaluate effects of stressors and management actions across fish life cycles using a combination of statistical modeling, computer modeling, statistical analysis, quantitative ecological analysis, and other quantitative modeling techniques.
  • Construct and implement models evaluating survival and migration through the hydropower system (COMPASS model) to address requests by the West Coast Regional Office in support of ESA litigation and permitting.
  • Collaborate with regional managers and researchers to structure, synthesize, and manage environmental and biological data relevant to modeling needs.
  • Document and share reproducible research workflows and analytical products via open-science platforms (e.g., GitHub) so that others can easily interact with them and understand what was done.
  • Write reports, contribute to journal manuscripts, and present results at regional and national meetings and scientific conferences, as needed.
  • Ensure all analyses are conducted with accepted methods and QA/QC, and that modeling components are completed and integrated into COMPASS and life cycle models for the Columbia River basin, and others as needed.
  • Prepare written status reports and other ad hoc communications as needed.
  • Assist with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed. This involves operating outdoors in sometimes harsh conditions in or around water, and may involve riding in vehicles and/or boats.

Compensation:
Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.
Minimum Qualifications:
  • Bachelor's degree from an accredited college or university with a major in a field of study related to statistics, mathematics, fisheries, ecology, or the natural sciences.
  • Three (3) or more years of experience
  • Excellent communication skills, and experience writing reports and contributing to peer-reviewed articles.
  • Strong quantitative skills including extensive experience in modeling and data analysis.
  • Extensive experience executing statistical analysis and modeling in R, with an emphasis on strong skills coding in R.
  • Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context.
  • Familiarity with common software used in the workplace such as Google Suite and Microsoft Office.
  • Ability to manage workload, stay organized, and produce high-quality work products efficiently.
  • Ability to work both independently and on interdisciplinary teams.
  • Must possess and maintain a valid driver's license during the period of performance.
  • Must be able to pass a background investigation and be suitable for public trust classification prior to beginning performance.

Preferred Qualifications:
  • Master's degree in a related quantitative or natural science field.
  • Experience with Bayesian statistical methods and mark-recapture analysis.
  • Experience with Bayesian modeling programs Stan and JAGS.
  • Computational experience utilizing command-line environments (e.g., Linux/shell scripting) for processing data.
  • Experience with open science concepts and platforms.

Travel:
  • Travel is anticipated.
  • Personnel may periodically be required to drive Government vehicles; when a Government vehicle is not available, mileage on a personal vehicle is reimbursed in accordance with the Federal Travel Regulation.

Location:
  • 2725 Montlake Blvd. East, Seattle, WA 98112 (Northwest Fisheries Science Center) or at one of the science centers associated field stations.

An Equal Opportunity Employer
It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.
Must be able to work in the U.S. • VEVRAA Federal Contractor • Request Priority Protected Veteran Referrals • Equal Opportunity Employer

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