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Insurance Quant Jobs in Monroe, NC (NOW HIRING)

Apply advanced actuarial, analytical, and quantitative skills, leveraging the latest technologies ... Annuity or Pension or other insurance product experience * Experience with stress testing, economic ...

Analyze quantitative inputs such as financial results, trends, market data, and operational metrics ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Support ownership and governance of analytical and quantitative models. * Manage model ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Showing results 21-40

Insurance Quant information

See Monroe, NC salary details

$90.9K

$157.4K

$240.6K

How much do insurance quant jobs pay per year?

As of Aug 23, 2026, the average yearly pay for insurance quant in Monroe, NC is $157,358.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,700.00 and $184,500.00 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 Monroe, NC are hiring for Insurance Quant jobs?

Cities near Monroe, NC with the most Insurance Quant job openings:

Infographic showing various Insurance Quant job openings in Monroe, NC as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, and 4% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $157,358 per year, or $75.7 per hour.

Research Integration Specialist

London Stock Exchange Group

Charlotte, NC • On-site

$108K - $181K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

The Junior Research Integration Specialist will support FTSE Russell's Research team by facilitating the translation of research insights into practical, real-world applications. This dynamic role is ideal for someone who combines strong programming expertise with a curiosity for quantitative finance and enjoys bridging the gap between research concepts and implementation! Based in Fort Mill, SC, this position will work closely with both research and technical teams to enhance research capabilities, improve methodologies, and drive innovation!
What you'll be doing
  • Support the integration of research methodologies into detailed processes and analytical frameworks.
  • Build and enhance technical tools and automated workflows that improve research efficiency and capability.
  • Translate research concepts and factor methodologies into structured, repeatable processes.
  • Collaborate on research projects that require both quantitative analysis and technical implementation.
  • Support the development of research infrastructure including data pipelines, analytical tools, and research platforms.
  • Analyze research workflows and find opportunities for automation and process improvement.
  • Develop and maintain documentation for research methodologies, factor calculations, and analytical processes.
  • Assist in the development of research tools that support factor analysis, backtesting, and performance attribution.
  • Facilitate knowledge transfer between research teams and support consistent application of research methodologies.
  • Contribute to research validation processes and quality assurance frameworks.
What we're looking for
  • Python programming experience with curiosity about applying technology to research problems.
  • Some background or shown curiosity about finance, quantitative methods, or investment research.
  • Strong problem-solving skills and eagerness to learn technical implementation concepts.
  • Curiosity about automation, data analysis, and research methodology development.
  • Good interpersonal skills for collaborating across research and technical teams.
  • Meticulous approach with dedication to quality and continuous learning.
  • Bachelor's degree or equivalent experience in a technical or quantitative field (e.g., Computer Science, Engineering, Mathematics, Finance, Economics).
Preferred Attributes
  • Interest in quantitative finance, factor investing, or financial market research.
  • Knowledge of analytical frameworks, statistical analysis, or quantitative investment strategies.
  • Interest in machine learning, AI applications, or sophisticated analytics in finance.
Why Join Us?
Join a leading global index provider as part of a research team focused on developing innovative approaches to factor investing and index construction within a growing business that offers expanding opportunities in research technology and analytical innovation. In this role, you will contribute to research initiatives that blend sophisticated analytics with practical implementation, while collaborating closely with senior researchers and technical specialists across global teams. You will also benefit from continuous learning and career development across both quantitative research and technology, with a clear progression path toward quantitative researcher roles.
We are also committed to providing reasonable accommodations for qualified individuals with disabilities throughout the application and employment process. If you require assistance or accommodations due to a disability, please let us know, and we will work with you to meet your needs.
Career Stage:
Senior Associate
Compensation/Benefits Information:
LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $108,800 - $181,300.
Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/"bonus plan"). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG's Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject .
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.