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Insurance Quant Jobs in Bloomfield, NJ (NOW HIRING)

Man Group plc

Principal Quant

Manhattan, NY · On-site

$200K - $250K/yr

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

Quant Blueprint LLC

Software Engineer - C++

Manhattan, NY · On-site

$165 - $300/hr

... insurance technology, securities, private equity, and venture capital. Our team of scientists ... We are seeking a quantitative researcher to develop systematic signals to generate alpha and ...

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 ...

Citigroup Inc.

Quantitative Developer (VP)

Manhattan, NY · On-site

$175 - $250/hr

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 ...

P2P

Campus Quantitative Trader (Full-Time)

Manhattan, NY · On-site

$255 - $345/hr

Quant Traders will get training in all of these areas, with a focus in trading and financial ... Travel Medical Insurance * Group Pension Scheme * Group Life Assurance and Income Protection ...

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All JobsInsurance Quant JobsInsurance Quant Jobs in Bloomfield, NJ

Insurance Quant information

See Bloomfield, NJ salary details

$100.3K

$173.7K

$265.6K

How much do insurance quant jobs pay per year?

As of Sep 4, 2026, the average yearly pay for insurance quant in Bloomfield, NJ is $173,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,700.00 and $203,700.00 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 job categories do people searching Insurance Quant jobs in Bloomfield, NJ look for?

The top searched job categories for Insurance Quant jobs in Bloomfield, NJ are:

What cities near Bloomfield, NJ are hiring for Insurance Quant jobs?

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

Insurance Quant jobs near you

Quantitative Software Architect: Quantitative Components

Two Sigma Investments, LP

New York, NY • On-site

$165K - $300K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 9 days ago

Key responsibilities

  • Understand the business purpose of the systems and prioritize technical work accordingly.

  • Drive innovation, establish standard methodologies, and develop architectural frameworks within the team.

  • Identify technical risks and architectural opportunities, develop strategies, and act as technical director for implementation.

Job description

Quantitative Software Architect: Quantitative Components
Location
NY New York
United States
Business
Investment Management
Function
Engineering
Experience Level
Experienced
Share this job
Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
In Quantitative Components, we own the systems that drive Two Sigma's ability to make reliably profitable portfolios in a world of uncertainty. Our team builds the core components at the heart of Two Sigma's forecasting, simulation and optimization. These systems are critical for the success of Two Sigma and touch all parts of the research, modeling, and trading environments. Engineers working on Quantitative Components will be directly responsible to our core business and are expected to understand, build, iterate, and expand on the research done by our world class research groups. Our engineers engage with research topics and cover new domains quickly; build deep expertise with Two Sigma data and tools; apply high standards to the code and develop an ability to identify highly impactful projects in a complex and mission critical domain.
The ideal candidate is someone with a strong engineering and quantitative background - we work at the intersection of engineering and quantitative research.
You will take on the following responsibilities:
  • Understand the business purpose of our systems. Use that understanding to prioritize technical work and resolve tradeoffs
  • Drive innovation, standard methodologies, and architectural framework within the team
  • Encourage consensus to achieve high-level goals
  • Identify technical risks and architectural opportunities, develop a technical strategy to address them, and act as technical director for implementation of that strategy. Provide recommendations to balance immediate business goals with strategic architectural goals
  • Become a technical expert for the systems underpinning our research areas and help evolve these components
  • Mentor senior engineers

You should possess the following qualifications:
  • Minimum 7 years of experience required in software engineering, with experience in financial or quantitative software; 10+ years of experience preferred
  • BS in Computer Science, Applied Mathematics, or another technical/quantitative field
  • Knowledge of both modern quantitative and data science technologies, especially in the python ecosystem, and OO programming languages and paradigms (Java preferred)
  • Financial domain knowledge, especially in portfolio-related topics such as portfolio construction, risk and market impact, is preferred
  • Strong relationship and communication skills, both verbally and in writing. Empathy for management and product considerations

You will enjoy the following benefits:
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.

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