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Insurance Quant Jobs in Montvale, NJ (NOW HIRING)

Citi

Quantitative Developer (VP)

New York, NY · On-site

$175K - $250K/yr

We are seeking an experienced Quantitative Developer to join our Markets Quantitative Analytics ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

IMC

Quantitative Developer

New York, NY · On-site

$200K - $225K/yr

... paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

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Showing results 21-40

All JobsInsurance Quant JobsInsurance Quant Jobs in Montvale, NJ

Insurance Quant information

See Montvale, NJ salary details

$102.4K

$177.4K

$271.3K

How much do insurance quant jobs pay per year?

As of Sep 4, 2026, the average yearly pay for insurance quant in Montvale, NJ is $177,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,600.00 and $208,000.00 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 cities near Montvale, NJ are hiring for Insurance Quant jobs?

Cities near Montvale, NJ with the most Insurance Quant job openings:

Insurance Quant jobs near you
Infographic showing various Insurance Quant job openings in Montvale, NJ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $177,434 per year, or $85.3 per hour.

Staff Quantitative Developer

Clearwater Analytics

New York, NY • On-site

$179K - $243K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

About the Role

Clearwater Analytics is the leading SaaS platform for investment accounting, risk, and performance, serving the world's largest insurance companies, asset managers, and institutional investors. As a Risk Quantitative Developer, you will play a critical role within the Quant team, helping to enhance and expand our Multi-Asset-Class risk analytics capabilities, including instrument valuation and risk estimation methods. You will work closely with cross-functional teams of developers and interact directly with clients to deliver solutions that focus on both developers and end-users, with a primary emphasis on risk management.

Responsibilities

Quantitative Development

  • Design, implement, and maintain pricing libraries and risk models covering Fixed Income, Credit, and Derivatives instruments.
  • Build platform capabilities for scenario analysis, risk sensitivities (DV01, CS01, Greeks), P&L attribution, and cash flow generation.
  • Identify and advocate for new models and design patterns to support an evolving instrument universe and client base.

Technical Development

  • Design and build robust, maintainable software systems with a focus on performance, correctness, and extensibility.
  • Write clean, well-tested code and contribute to code reviews, technical documentation, and shared libraries.
  • Proactively identify and resolve technical debt, performance bottlenecks, and gaps in test coverage.

Collaboration & Mentorship

  • Mentor engineers at all levels and contribute to a culture of continuous learning.
  • Engage directly with clients to deliver customized risk solutions and platform integrations.
  • Communicate complex quantitative topics clearly to technical and non-technical stakeholders alike.

Required Qualifications

Experience & Skills

  • 9+ years of quantitative development in financial services, preferably in a front-office or risk technology environment.
  • Expertise in risk and valuation analytics across Fixed Income, Credit, and/or Derivatives asset classes.
  • Strong Python proficiency; experience with C++ or Java is a plus.
  • Solid grounding in quantitative finance: yield curve construction, credit spread modeling, and standard risk sensitivities.
  • Experience with distributed systems and microservices on public cloud (AWS, Azure, or GCP).
  • Proven ability to lead technical delivery across multi-team projects as a tech lead or senior contributor.

Education

  • Bachelor's or Master's degree in Mathematics, Physics, Financial Engineering, Computer Science, or a related quantitative field.

Salary Range

$179,400.00 - $243,136.45

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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