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Insurance Quant Jobs in Bothell, WA (NOW HIRING)

Twitch

Data Scientist

Seattle, WA · On-site

$157K - $212K/yr

OR a PhD in Economics, Statistics, Computer Science, or related quantitative field * Proficiency in ... Medical, Dental, Vision & Disability Insurance * 401(k) * Maternity & Parental Leave * Flexible PTO

PEMCO

Product Analyst

Seattle, WA · On-site

S. degree or equivalent work experience (Business, Economics, mathematics, or other quantitative fields of study) * 1 year of experience in the property and casualty insurance industry is required ...

TikTok

Data Scientist - TikTok Ads

Seattle, WA · On-site

$170K - $277K/yr

Qualifications Minimum Qualifications: - Master's degree in a quantitative discipline (e.g ... Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with ...

Amazon

Senior Business Analyst, Relay Trust

Bellevue, WA · On-site

$104K - $134K/yr

Use quantitative analysis and the presentation of data to see beyond the numbers and understand ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

AIS, Inc.

Fisheries Biologist

Seattle, WA · On-site

Perform quantitative and spatial analysis of fish, habitat and existing data sets. * Digitize ... AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.

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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
Data Scientist

Data Scientist

Twitch

Seattle, WA • On-site

$157K - $212K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

About Us
Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and X, and discover the projects we're solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them.
You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge.
This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA.
You can work in San Francisco, CA; New York, NY; or Seattle, WA
You Will:
  • Apply causal inference methods where experimentation isn't feasible
  • Develop models and analyses that inform pricing, segmentation, and revenue optimization
  • Design, run, and analyze A/B experiments
  • Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks
  • Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making
You Have:
  • 3+ years of experience as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics, Statistics, Computer Science, or related quantitative field
  • Proficiency in SQL
  • Proficiency with Python or R
  • Strong foundation in experimentation and causal inference, including A/B test design and quasi-experimental methods
  • Strong communication skills across technical and non-technical stakeholders
  • Comfort building dashboards and recurring reporting
Bonus Points
  • Master's or PhD in Economics, Statistics, or a related quantitative field
  • Industry experience working on consumer products with high transaction volume (subscriptions, marketplaces, payments)
  • Hands-on experience with Airflow, SageMaker, or deploying ML models in production
  • Familiarity with modern causal ML methods (double ML, causal forests, heterogeneous treatment effects)
Perks
  • Medical, Dental, Vision & Disability Insurance
  • 401(k)
  • Maternity & Parental Leave
  • Flexible PTO
  • Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9226
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
US, WA, Seattle - Annually
$136,000-$184,000 USD
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
US, CA, San Francisco - Annually
$157,300-$212,800 USD
US, NY, New York - Annually
$153,400-$207,500 USD
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

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