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Insurance Quant Jobs in New York (NOW HIRING)

OptionMetrics

Quant Associate

New York, NY · On-site

$130K - $160K/yr

As a Quant Associate, you will partner closely with our Senior Quantitative Researchers on a ... Full medical and dental insurance coverage. $130,000 - $160,000 a year OptionMetrics is an equal ...

OptionMetrics

Quant Associate

New York, NY · On-site +1

$130K - $160K/yr

As a Quant Associate, you will partner closely with our Senior Quantitative Researchers on a ... Full medical and dental insurance coverage. OptionMetrics is an equal opportunity employer. All ...

OptionMetrics

Quant Associate

New York, NY · On-site +1

$130K - $160K/yr

As a Quant Associate, you will partner closely with our Senior Quantitative Researchers on a ... Full medical and dental insurance coverage. $130,000 - $160,000 a year OptionMetrics is an equal ...

BMO Financial

C++ Quant Developer

Manhattan, 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 ...

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 ...

BMO Capital Markets

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 ...

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 ...

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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.

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.

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

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

What job categories do people searching Insurance Quant jobs in New York look for?

The top searched job categories for Insurance Quant jobs in New York are:

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

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

Insurance Quant jobs near you
Infographic showing various Insurance Quant job openings in New York as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Quant Associate

OptionMetrics

New York, NY • On-site

$130K - $160K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 23 days ago

Job description

About Us:
OptionMetrics, headquartered in New York, NY. is a dynamic and innovative technology company, a trusted provider of financial information and research derived from the option markets. We are at the forefront of developing solutions that empower businesses. Our commitment to excellence, coupled with a collaborative, forward-thinking culture, has made us the preferred choice for top-tier talent. Our data and analytics models are utilized by over 350 investment banks, hedge funds, asset management firms, and academic institutions globally, solidifying our position as a leader in the industry.
At OptionMetrics, we are seeking a curious, analytical, and detail-oriented Quant Associate to join our Quantitative Research team. This is an excellent opportunity for an early-career quantitative professional who is passionate about financial modeling, derivatives, and applied research.
As a Quant Associate, you will partner closely with our Senior Quantitative Researchers on a variety of quantitative research initiatives, contributing to the development and enhancement of our industry-leading options analytics platform. You will have the opportunity to work on challenging problems, develop innovative models, and see your work directly impact our products and clients.
We are a small, agile organization that values intellectual curiosity, collaboration, and craftsmanship. We emphasize quality over expediency and encourage our team members to take ownership of their work from concept through implementation. You'll be surrounded by exceptionally bright colleagues who are passionate about solving complex financial problems and advancing quantitative research.
Location: Hybrid (New York City)
What You'll Do:
  • Assist in the development, implementation, and maintenance of the firm's option pricing models and quantitative analytics.
  • Partner with Senior Quantitative Researchers on research initiatives and model enhancements.
  • Contribute to the development of new products, quantitative tools, and analytics.
  • Collaborate with the Head of Quantitative Research to understand client needs and help develop innovative quantitative solutions.
  • Conduct statistical analysis and quantitative research using large financial datasets.
  • Validate, test, and improve pricing models to ensure accuracy, robustness, and performance.
  • Document research findings and communicate technical concepts clearly to both technical and non-technical audiences.

Skills You'll Need:
  • Master's degree (M.S.) or higher in Financial Engineering, Quantitative Finance, Econometrics, Statistics, Applied Mathematics, Physics, Computer Science, or another highly quantitative discipline.
  • Strong interest in derivatives, option pricing, financial markets, and quantitative modeling.
  • Proficiency in at least one programming language such as Python, C++, or Java.
  • Strong analytical and problem-solving skills with exceptional attention to detail.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple priorities while working both independently and collaboratively.

What Will Make You Stand Out:
  • Academic or research experience in derivatives, stochastic calculus, numerical methods, or financial modeling.
  • Experience implementing quantitative models in Python or C++.
  • Familiarity with options pricing models such as Black-Scholes, binomial trees, Monte Carlo simulation, or finite difference methods.
  • Experience working with large financial datasets and statistical analysis.
  • Exposure to machine learning techniques or predictive modeling.
  • Internship or research experience within quantitative finance, financial engineering, or capital markets.
  • Intellectual curiosity, a desire to continuously learn, and enthusiasm for tackling complex quantitative challenges.

What We Offer:
  • A collaborative environment where everyone's input makes a difference.
  • Paid time off: Vacation, Personal, Sick days, and Holidays.
  • Pre-tax commuter benefits (NJT, MTA, etc.) and 401k plan offered.
  • Full medical and dental insurance coverage.

$130,000 - $160,000 a year
OptionMetrics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, OptionMetrics will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co-worker, Pay Transparency Nondiscrimination .
If you need a reasonable accommodation for any part of the employment process, please contact us by email and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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