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Insurance Quant Jobs in Carson, CA (NOW HIRING)

Data Scientist II

Los Angeles, CA · 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

Manager, Strategic Planning

Los Angeles, CA · On-site

$108K - $149K/yr

... quantitative tools that measure the efficiency of strategic and operation initiatives • Identify ... Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating ...

Manager, Strategic Planning

Los Angeles, CA · On-site

$108K - $149K/yr

... quantitative tools that measure the efficiency of strategic and operation initiatives • Identify ... Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating ...

Manager, Strategic Planning

Los Angeles, CA · On-site

$108K - $149K/yr

... quantitative tools that measure the efficiency of strategic and operation initiatives Identify ... Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating ...

Business Analyst

Rosemead, CA · On-site

$29 - $31/hr

Demonstrated ability to perform basic quantitative analysis with the ability to gather, document ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Showing results 41-60

Insurance Quant information

See Carson, CA salary details

$102.5K

$177.5K

$271.4K

How much do insurance quant jobs pay per year?

As of Sep 2, 2026, the average yearly pay for insurance quant in Carson, CA is $177,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,700.00 and $208,100.00 per year, depending on experience, location, and employer.

What is an insurance quant?

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.

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 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.

What job categories do people searching Insurance Quant jobs in Carson, CA look for?

The top searched job categories for Insurance Quant jobs in Carson, CA are:

What cities near Carson, CA are hiring for Insurance Quant jobs?

Cities near Carson, CA with the most Insurance Quant job openings:

Executive Director / Director, AI Data Science (Fixed Income/Investment Banking)

TWG Global AI

Santa Monica, CA

Full-time

Re-posted 11 days ago


Job description

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries-including financial services, insurance, technology, media, and sports-by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. 

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. 

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. 

At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. 

The Role

As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives across TWG Global's fixed income and investment banking businesses. Reporting to the Managing Director of AI & Data, you will act as the senior technical leader for the function. You will drive enterprise-critical projects, set technical direction, and mentor a small team of data scientists working on pricing, risk, and capital markets problems.

You will partner closely with traders, bankers, risk leaders, and senior executives to align data science solutions with the firm's commercial priorities, ensuring advanced AI and quantitative methods are adopted responsibly and at scale. This role demands deep technical expertise in both machine learning and the mechanics of fixed income markets, paired with the ability to influence decision-makers and deliver measurable outcomes on the desk and across the enterprise.

Key Responsibilities

  • Lead flagship AI/ML projects that drive measurable value across fixed income trading, credit, rates, and investment banking workflows, from pricing and execution to risk and origination.
  • Direct the development of models for valuing illiquid instruments, forecasting price and spread movements, modeling prepayment and default risk, and analyzing the yield curve and interest rate dynamics.
  • Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation) and on their application to quantitative finance.
  • Translate complex desk-level and banking challenges into enterprise-grade data science solutions with tangible P&L and risk-adjusted ROI.
  • Mentor and guide a small team of data scientists, building technical excellence, modeling rigor, and responsible AI adoption.
  • Partner with trading desks, banking coverage teams, risk, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
  • Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
  • Define standards for experimentation, reproducibility, and model governance, consistent with the controls expected in a regulated capital markets environment.
  • Stay ahead of emerging trends in AI/ML and quantitative finance, advising on adoption and firm-wide capability building.

Requirements

  • 10 or more years of experience in data science or machine learning, with proven delivery of enterprise-impact projects, including direct work in fixed income, capital markets, or quantitative finance.
  • Strong expertise in advanced machine learning, causal inference, deep learning, statistical modeling, and time series analysis.
  • Working knowledge of fixed income fundamentals: duration, convexity, yield curves, credit spreads, rate models, and the pricing of debt instruments and derivatives.
  • Demonstrated success leading end-to-end projects and influencing senior stakeholders on a trading floor or within a banking or risk function.
  • Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks.
  • Experience mentoring or leading small, high-performing teams.
  • Master's or PhD in Data Science, Statistics, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline.

Preferred Qualifications:

  • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
  • Familiarity with model risk management and validation standards (e.g., SR 11-7) and establishing standards for reproducibility, experimentation, and responsible AI in a regulated setting.
  • Experience with market and tick data infrastructure, including KDB+/q or similar time series stores.
  • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics.
  • Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) are a plus.

Benefits

Position Location

This is an on-site position based in Santa Monica, CA or New York, NY. Relocation support is provided for qualified candidates.

Compensation

The expected base pay for this position is $299,000-390,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. 

TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.