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Reinsurance Data Science Jobs (NOW HIRING)

MS Reinsurance

Senior Reserving Analyst

New York, NY · On-site

About MS Reinsurance MS Reinsurance is a global reinsurer domiciled in Switzerland with ... Challenge data and assumptions with a curious mindset to sharpen accuracy and insight. Your profile ...

MS Reinsurance

Senior Reserving Analyst

New York, NY · On-site

About MS Reinsurance MS Reinsurance is a global reinsurer domiciled in Switzerland with ... Challenge data and assumptions with a curious mindset to sharpen accuracy and insight. Your profile ...

SageSure

Senior Analyst, Ceded Reinsurance

Chicago, IL · On-site

$88K - $109K/yr

... necessary data * Maintain accurate documentation of reinsurance and third-party capital ... Degree in actuarial sciences * Experience and/or interest in working in reinsurance, financial ...

Ryan Specialty

Senior Actuarial Manager

$136K - $170K/yr

Partner with underwriting, product, finance, and reinsurance to translate analytics into portfolio ... Communicate complex actuarial and data science concepts in clear, business-friendly language to ...

Group1001

Reinsurance Underwriting Associate

Stamford, CT · On-site

$20.75 - $28.50/hr

Bachelor's degree in relevant fields such as Finance, Business Administration, Actuarial Science or ... Strong analytical skills with the ability to evaluate complex data and make informed decisions.

MSIG Holdings USA, Inc.

Data Product Owner

Warren, NJ · On-site

You will work closely with Product, Underwriting, Actuarial, Claims, Finance, Reinsurance, IT, and ... Partner with Data Science and Azure AI Studio teams to ensure models are explainable, validated ...

MSIG Holdings USA, Inc.

Data Product Owner

Warren, NJ · On-site

You will work closely with Product, Underwriting, Actuarial, Claims, Finance, Reinsurance, IT, and ... Partner with Data Science and Azure AI Studio teams to ensure models are explainable, validated ...

Group1001

Reinsurance Underwriting Associate

Stamford, CT · On-site

$20.75 - $28.50/hr

Bachelor's degree in relevant fields such as Finance, Business Administration, Actuarial Science or ... Strong analytical skills with the ability to evaluate complex data and make informed decisions.

Software Technology Inc

AI ML Engineer

Dallas, TX

Data Scientist We are seeking a highly analytical and detail-oriented Data Scientist to join our team in the reinsurance domain. The ideal candidate will leverage data to drive insights into risk ...

Samprasoft

AI ML Engineer

Dallas, TX

Data Scientist We are seeking a highly analytical and detail-oriented Data Scientist to join our team in the reinsurance domain. The ideal candidate will leverage data to drive insights into risk ...

Chubb

Assistant Actuary

Whitehouse Station, NJ

$117K - $170K/yr

Work with analytics, data science, and other actuarial teams to develop predictive modeling capabilities and establish a rigorous model refresh process. * Collaborate with reinsurance pricing teams ...

Chubb

Data Scientist - Cohort Modeling

Jersey City, NJ · On-site

$124K - $180K/yr

... Science. Advanced degree in Statistics or Predictive Analytics is strongly preferred. * 5+ years of ... insurance, reinsurance, and life insurance to a diverse group of clients. The company is ...

Chubb

Data Scientist - Cohort Modeling

Jersey City, NJ · On-site

... insurance, reinsurance, and life insurance to a diverse group of clients. The company is ... Science. Advanced degree in Statistics or Predictive Analytics is strongly preferred. * 5+ years of ...

Parsyl

Staff Data Platform Engineer

Denver, CO · On-site

... underwriting, consortia, reinsurance and Funds at Lloyd's capacity providers. Parsyl has ... You will partner closely with engineering, data science, product and business teams to translate ...

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All JobsReinsurance Data Science Jobs

Reinsurance Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do reinsurance data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for reinsurance data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Reinsurance Data Science vs Reinsurance Actuarial Science?

AspectReinsurance Data ScienceReinsurance Actuarial Science
Required CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like SAS or Python are commonRequires a degree in mathematics, statistics, or actuarial science; actuarial certifications (e.g., ASA, FSA) are essential
Work EnvironmentData analysis, modeling, and programming within insurance or reinsurance companiesRisk assessment, pricing, and reserving using statistical models in insurance or reinsurance firms
Industry UsageGrowing in reinsurance for predictive analytics and big data applicationsEstablished role focusing on risk quantification and financial modeling

Reinsurance Data Science focuses on analyzing large datasets and developing predictive models using programming and statistical tools, while Reinsurance Actuarial Science emphasizes risk assessment and financial modeling through actuarial methods. Both roles are vital in reinsurance but differ in their technical approaches and certifications.

What is reinsurance data science?

Reinsurance data science is the application of advanced analytical, statistical, and machine learning techniques to large datasets within the reinsurance industry. Professionals in this field analyze insurance and reinsurance data to identify risks, optimize pricing, improve claims management, and support underwriting decisions. Their work helps reinsurance companies make informed decisions, improve profitability, and better manage risk portfolios. The job often requires a strong background in mathematics, statistics, programming, and a deep understanding of the insurance and reinsurance sectors.

What are the key skills and qualifications needed to thrive as a Reinsurance Data Scientist, and why are they important?

To thrive as a Reinsurance Data Scientist, you need strong analytical skills, a solid understanding of statistics and actuarial concepts, and a background in mathematics or computer science. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with reinsurance-specific software or platforms are typically required. Outstanding problem-solving abilities, effective communication, and business acumen help set candidates apart in this field. These skills are crucial for accurately analyzing complex risk data, building predictive models, and providing actionable insights that drive sound reinsurance decisions.

How does a Data Scientist in reinsurance typically collaborate with actuarial and underwriting teams?

Data Scientists in reinsurance often work closely with actuarial and underwriting teams to enhance risk assessment and pricing models. They provide advanced analytics, machine learning insights, and data-driven recommendations to support underwriting decisions and improve loss predictions. Regular collaboration involves sharing findings, validating models, and ensuring that technical results align with business objectives. This cross-functional teamwork is essential for developing robust solutions that meet both regulatory and client needs.
Infographic showing various Reinsurance Data Science job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, 14% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Reserving Analyst

MS Reinsurance

New York, NY • On-site

Full-time

Posted 29 days ago

Job description

About MS Reinsurance
MS Reinsurance is a global reinsurer domiciled in Switzerland with underwriting offices in Zurich, Bermuda, Miami, and New York. The Company underwrites non-life treaty reinsurance solutions on a worldwide basis through its three business units: Americas, International, and Specialty Lines. As part of the world-leading insurance group MS&AD, MS Reinsurance combines reliability and agility to make its clients' businesses stronger. With a drive to move quickly and a commitment to long term partnership, MS Reinsurance supports its partners with the momentum and stability they can build on.
About the role
Be part of an eight-person team where reserving insights directly influence underwriting strategy at a Swiss-regulated global reinsurer. You will lead deep-dive analyses, enhance our reserving processes, and communicate with senior stakeholders. The role will initially focus on US P&C, with opportunities to expand into other classes and regions over time.
Your responsibilities
Reporting to the Head of Reserving, you will:
  • Play an important role in the quarterly reserving process, calculating reserves and preparing reports and management information for internal stakeholders.
  • Support deep dives on complex classes, refining methods and assumptions.
  • Automate and streamline workflows in Python and enhance existing Excel tools.
  • Present results to Underwriting and Finance, turning technical findings into business decisions.
  • Challenge data and assumptions with a curious mindset to sharpen accuracy and insight.

Your profile
  • 2 - 6 years of experience in a quantitative, preferably actuarial, field
  • Strong technical and data-handling skills, programming skills (in particular Python and SQL) a plus
  • Educational background in mathematics, natural science or any another quantitative discipline
  • Numerate and analytical mind-set, good problem solver; strong aptitude for appropriately applying professional judgement
  • Good communicator, keen to liaise with other functions providing valuable model input and/or receiving model output
  • Excellent written skills
  • Team spirit, collaborative attitude, work ethic, proactive

WHY WORK WITH US
Make your mark with us. At MS Reinsurance, we're big enough to make a difference and small enough that everyone counts.
We offer an entrepreneurial culture, where there's less hierarchy and more action, and room for innovation. Here, you'll have the power to drive real change and shape our path ahead.
Join a place where ambition can become reality, with development and platforms that support where you want to go next. Together, we'll help you discover your potential as we expand ours.
We live day-to-day by our values: collaborative, progressive, empowering, and responsible. This means you'll join a team which upholds mutual trust and treats each other with respect. While teamwork is at the heart of our approach to reinsurance, we don't expect our team to think alike; at MS Re, we don't just welcome your differences, we believe they're essential to our success.
Does this sound like a culture you want to be part of? Find out more about what we offer on our website and apply today!
In case of questions, please contact us via email: careers@msreinsurance.com
Note that we will only consider applicants eligible to work in the United States of America.
MS Reinsurance is the market-facing brand of the risk carrying legal entity MS Amlin AG, a global reinsurer domiciled in Switzerland and operating in Bermuda as MS Amlin AG, Bermuda Branch, in the United States through MS Amlin Reinsurance Managers, Inc, and in Labuan, Malaysia as MS Amlin AG, Labuan Branch.
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