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Insurance Quant Jobs (NOW HIRING)

See Yourself as a VP, Quantitative Analytics The Vice President, Quantitative Analytics is responsible for providing leadership and management within the Mortgage Insurance Quantitative Analytics ...

We are seeking a highly skilled quantitative professional at the VP/SVP level to join our Equity ... disability insurance; and wellness programs. Jefferies also offers paid time off packages that ...

We are seeking a highly skilled quantitative professional at the VP/SVP level to join our Equity ... disability insurance; and wellness programs. Jefferies also offers paid time off packages that ...

... insurers, corporations, and wealth managers. Creative collaboration and sharp client focus have ... You will work at the intersection of quantitative modeling, machine learning, and market ...

... insurers, corporations, and wealth managers. Creative collaboration and sharp client focus have ... You will work at the intersection of quantitative modeling, machine learning, and market ...

Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Northbrook IL Jobs, Quantitative Analyst, R, Python, Quant, Quantitative, Large Data Sets, MySQL, SQL, Data ...

PhD or exceptional Masters / Bachelors qualification in a quantitative subject * Expertise in ... pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment ...

... options quant team. You will join the team as a senior member with the expectation of leading ... paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive ...

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Insurance Quant information

See salary details

$98K

$169.7K

$259.5K

How much do insurance quant jobs pay per year?

As of Jun 1, 2026, the average yearly pay for insurance quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

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.

More about Insurance Quant jobs
What cities are hiring for Insurance Quant jobs? Cities with the most Insurance Quant job openings:
What states have the most Insurance Quant jobs? States with the most job openings for Insurance Quant jobs include:
Infographic showing various Insurance Quant job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 81% Part Time, and 16% Contract. Highlights an 1% Physical, and 99% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Lead Front Office Quant Developer - Modern C++

Lead Front Office Quant Developer - Modern C++

Wells Fargo

Charlotte, NC

Full-time

Medical, Life, Retirement, PTO

Posted 25 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

61st of 141 rated banks


Job description

About this role:

Wells Fargo is seeking a Lead Quantitative Developer, Vice President (Lead Securities Quantitative Analytics Specialist) to join our quantitative implementation team. The front office financial quant developer will be involved in the implementation of various financial models, including interest rate, mortgage prepayment and default, derivative valuation, hedging, and horizon forecast models, with a primary focus on implementing mortgage prepayment models.

This role emphasizes translating mortgage prepayment model specifications into robust, production-ready C++ code within the firm's proprietary analytics library. The position requires expertise in software engineering best practices to deliver performant, modular, and well-tested implementations.

You will work across the full development lifecycle-from understanding prepayment logic and edge cases to ensuring seamless API integration, backward compatibility, and comprehensive documentation.

The Wells Fargo Investment Portfolio (IP) manages the Company's Available-For-Sale (AFS) and Held-To-Maturity (HTM) securities and loan portfolios, and the Reinsurance and Bank Owned Life Insurance (BOLI) businesses as part of the Finance group. IP also provides strategic and analytical balance sheet support to the bank, as well as a centralized, street-facing trade execution and hedging function and centralized mortgage modeling for the enterprise.

In this role, you will:

  • Implement and integrate mortgage prepayment models into the firm's proprietary analytics library using C++

  • Grasp prepayment logic end-to-end, reason through functional logic and edge cases, and implement efficient, production-grade code that meets library standards

  • Integrate models with existing APIs as well as upstream and downstream systems

  • Develop and maintain comprehensive unit and integration tests with solid coverage across core flows and edge cases

  • Manage versioning, configuration, and backward compatibility across releases

  • Write clear documentation, examples, and runbooks to support users, operators, and validators

  • Collaborate effectively with business, model development, model validation, and technology teams

Required Qualifications:

  • 5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, or education

  • 2+ years of hands-on programming experience with C++17 or later

Desired Qualifications:

  • Master's degree or PhD in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

  • 3+ years of hands-on programming experience with C++17/C++20 and Python 3

  • 3+ years of quantitative analytics library software development experience in a buy-side or sell-side institution or a quant solution vendor

  • Experience implementing mortgage prepayment models

  • Experience working with cash-flow and pricing engines

  • Experience with mortgage analytics platforms and tools

  • Experience in software development cycle and agile technologies, e.g. Git, Jira, Confluence

  • Experience in or passion for Agentic AI

  • Excellent analytical, interpersonal, oral, and written communication skills with strong attention to detail across multiple audiences (Technology, Quants, Senior Management)

Job Expectations:

  • Ability to travel up to 10% of the time

  • This position is eligible for Visa sponsorship

  • Must be able to work on-site

Job posting Locations:

  • 550 St Tryon St, Charlotte, NC
  • 150 42nd St, New York, NY

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$185,000.00 - $300,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

14 Jun 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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