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Insurance Quant Jobs (NOW HIRING)

BMO Capital Markets

C++ Quant Developer

New York, NY

$260K/yr

A degree in a technical or quantitative field Nice to haves: * Knowledge of Rates pricing and risk ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Bank of Montreal

C++ Quant Developer

New York, NY · On-site

$260K/yr

A degree in a technical or quantitative field Nice to haves: * Knowledge of Rates pricing and risk ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Da Vinci

Experienced Quant

Miami, FL · On-site

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving ... Comprehensive benefits package including medical, dental, and vision insurance * 25 vacation days ...

Da Vinci

Experienced Quant

Miami, FL · On-site

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving ... Comprehensive benefits package including medical, dental, and vision insurance * 25 vacation days ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site

$80 - $90/hr

... company matching, and life insurance. Rate: $80.00 to $90.00/hr. w2 JN -052026-107108 ... Develop Python-based AI and quantitative models for research, prediction, classification, and ...

Frec Markets, Inc

Quant Researcher

New York, NY · On-site

$200K - $300K/yr

As a quantitative developer at Frec, you'll create products that enable us to level the financial ... Fully paid health, vision and dental insurances * 401k * Monthly allowance to help with maintaining ...

Injective Labs

Quant Researcher

New York, NY · On-site +1

As a part of our Quant team you'll be studying the crypto market to find profitable trading ... Health Insurance. * Equipment. * Home Office Stipend. * Flexible working hours. * Opportunity to ...

Frec Markets, Inc

Quant Developer

New York, NY · On-site

$200K - $300K/yr

As a quantitative developer at Frec, you'll create products that enable us to level the financial ... Fully paid health, vision and dental insurances * 401k * Monthly allowance to help with maintaining ...

Corgi Insurance

Quantitative Associate

Chicago, IL · On-site

$200K - $350K/yr

Insurance is the largest unautomated industry in financial services, and we're rebuilding it using ... Build and maintain quantitative models to support pricing, underwriting, forecasting, and business ...

PNC Bank

Quant Analyst/Model Analyst

Tysons Corner, VA · On-site

$90K - $150K/yr

As a Quant Analyst within PNC's Data, Modeling and Analytics organization, you will be based in ... This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act ...

PNC Bank

Quant Analyst/Model Analyst

Pittsburgh, PA

$90K - $150K/yr

As a Quant Analyst within PNC's Data, Modeling and Analytics organization, you will be based in ... This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act ...

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All JobsInsurance Quant Jobs

Insurance Quant information

See salary details

$98K

$169.7K

$259.5K

How much do insurance quant jobs pay per year?

As of Jul 29, 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 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.
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:
What job categories do people searching Insurance Quant jobs look for? The top searched job categories for Insurance Quant jobs are:
Insurance Quant jobs near you
Infographic showing various Insurance Quant job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quant Developer

Digipulse Technologies, Inc

Jersey City, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Digipulse Technologies, Inc (DTI) is a software solutions company offering focused IT services to fortune 1000 clients. We provide services in enterprise application development, system integration & support services for Insurance, Financial, Hospitality, Telecommunication, Pharmaceutical & Banking sectors.

This Role is hybrid( 2weeks /alternate week onsite to fidelity sites)

Role: Quant Developer (KDB+/Python) – Trading Systems

Responsibilities

  • Design, develop, and optimize KDB+/q databases for high-volume trading and market data.
  • Develop Python-based AI/ML and quantitative models for research, prediction, and signal generation.
  • Build research and backtesting frameworks using historical market data.
  • Deploy quantitative and AI models into production.
  • Optimize real-time analytics for performance, scalability, and reliability.
  • Collaborate with quants, traders, and engineering teams to deliver trading solutions.
  • Provide technical leadership and contribute to next-generation trading platforms.
Required Skills & Experience
  • 10+ years of experience in quantitative finance or trading systems.
  • Strong expertise in KDB+/q (time-series data, real-time analytics, high-performance querying).
  • Advanced Python programming for quantitative analysis and AI/ML development.
  • Experience with machine learning on time-series data.
  • Experience with high-frequency/large-scale market data.
  • Strong software engineering practices (Git, testing, modular design).
  • Experience with AWS or other cloud platforms.
  • CI/CD experience (GitHub, Jenkins, Maven, Artifactory, uDeploy).
  • Familiarity with Java, Linux, and shell scripting.
  • Experience using AI developer tools (e.g., GitHub Copilot).
Preferred Qualifications
  • Bachelor''s degree in Computer Science, Engineering, Mathematics, Information Technology, or a related field.
  • Excellent communication and collaboration skills.
  • Experience supporting production trading systems and participating in on-call rotations.
  • Ability to work closely with quants, researchers, and traders in a fast-paced environment.

If you are interested in this opportunity, please contact me at
Looking forward to hearing from you.

Apply