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Insurance Quant Jobs in Arizona (NOW HIRING)

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Master's degree in a quantitative or technical field * Knowledge of or previous work experience in health care or health insurance * Experience mentoring or supporting junior team members

US Bank

Strategic Business Analyst

Tempe, AZ · On-site

Analyze quantitative inputs such as financial results, trends, market data, and operational metrics ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Collabera

Business Analyst

Phoenix, AZ · On-site

... days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance ... skills - both quantitative and qualitative. Ability to convert analytical results into ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Master's degree in a quantitative or technical field * Knowledge of or previous work experience in health care or health insurance * Experience mentoring or supporting junior team members

Oscar Health

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

Master's degree in a quantitative or technical field * Knowledge of or previous work experience in health care or health insurance * Experience mentoring or supporting junior team members

Stone / Masonry

Masonry Block Estimator

Surprise, AZ

$31.25 - $35/hr

Prepare quantitative surveys (take offs) for masonry block projects, often including stone veneer ... Medical, dental, vision, life, and disability insurance * Health Spending Account (HSA) Employee

Knight Transportation

Transportation Analyst

Phoenix, AZ · On-site

$50K - $57K/yr

Medical, Dental, Vision, Disability, Supplemental and Life Insurance * Paid Time Off * Employee ... Must possess quantitative and qualitative analysis skills with superior problem solving ability.

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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 Arizona? For Insurance Quant jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Insurance Quant jobs in Arizona look for? The top searched job categories for Insurance Quant jobs in Arizona are:
What cities in Arizona are hiring for Insurance Quant jobs? Cities in Arizona with the most Insurance Quant job openings:
Insurance Quant jobs near you
Data Scientist II

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131K - $172K/yr

Other

Medical, PTO

Re-posted 7 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

239th of 281 rated insurance

Job description

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

  • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
  • Own projects end-to-end, including problem definition, implementation, validation, and iteration
  • Deliver high-quality analytical and modeling outputs with limited manager oversight
  • Collaborate closely with data science peers and cross-functional partners across business units
  • Help ensure data science processes and outputs align with broader team strategies and roadmaps
  • Provide guidance or informal mentorship to junior data scientists or analysts when needed
  • Contribute to improving data science practices, tooling, and documentation

Requirements:

  • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
  • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
  • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

  • Master's degree in a quantitative or technical field
  • Knowledge of or previous work experience in health care or health insurance
  • Experience mentoring or supporting junior team members
  • Experience deploying or supporting models in production environments

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