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Insurance Quant Jobs in New Jersey (NOW HIRING)

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 ...

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$134K - $176K/yr

Comprehensive health and life insurance and well-being benefits, based on location * Pension ... The Impact You Will Have in This Role As a Quantitative Software Engineer , you will play a key ...

$180 - $250/hr

What you will do The Quantitative Modeling and Strategies (QMS) Group in PGIM Fixed Income is ... Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of ...

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Insurance Quant information

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 are popular job titles related to Insurance Quant jobs in New Jersey?

For Insurance Quant jobs in New Jersey, the most frequently searched job titles are:

What cities in New Jersey are hiring for Insurance Quant jobs?

Cities in New Jersey with the most Insurance Quant job openings:

Infographic showing various Insurance Quant job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Quant Developer

Eliassen Group

Jersey City, NJ • On-site

$80 - $90/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago


Job description

Description:

On-site in Jersey City, NJ

Our client seeks a senior software engineer to lead design and development of next-generation electronic trading systems and data infrastructure. The role requires hands-on leadership building scalable, resilient, and high-performance platforms for capital markets, with emphasis on KDB+/q, Python, and AI/ML applied to time-series data. You will collaborate across quant, product, and engineering teams, mentor peers, and deliver robust production systems that support research, backtesting, and real-time trading workflows.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $80.00 to $90.00/hr. w2

JN -052026-107108

Responsibilities:
  • Lead design and development of low-latency, high-throughput trading systems and workflows.
  • Design, develop, and optimize KDB+/q databases and analytics for high-volume market data.
  • Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation.
  • Apply machine learning techniques to time-series data including feature engineering, model training, and evaluation.
  • Build research and backtesting frameworks integrating AI models with historical data.
  • Translate quantitative and ML research into production-ready, resilient systems.
  • Integrate AI models into real-time and batch pipelines.
  • Optimize analytics and model evaluation for performance, stability, and scalability.
  • Collaborate with quants, product owners, and engineering on deployment and monitoring.
  • Support production systems and participate in on-call rotations, including occasional weekend support.
Experience Requirements:
  • 10+ years of professional experience in quantitative finance or trading systems.
  • Advanced proficiency with KDB+/q for time-series modeling, high-performance querying, and real-time and historical analytics.
  • Strong Python for quantitative analysis, AI/ML model development, and integration with KDB+ and downstream systems.
  • Experience with large-scale, high-frequency, or noisy datasets.
  • Solid software engineering practices including Git, testing, and modular design.
  • Experience with AI developer assist tools such as GitHub Copilot.
  • Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
  • Hands-on experience with AWS or other cloud platforms.
  • Familiarity with Java or other object-oriented languages.
  • Experience with Linux, shell scripting, and production support.
  • Clear communication with quants, traders, and engineers.
Education Requirements:
  • Bachelor’s degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent.
Recruitment Transparency Notice
 
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.
 

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com.

 
About Eliassen Group:
 
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
 
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
 
Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
 

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About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989