Insurance Visa Sponsorship Jobs in Massachusetts
Massachusetts hosts major insurance companies like Liberty Mutual, State Street Global Advisors, and John Hancock, primarily concentrated in Boston's Financial District. The state's strong financial services sector and proximity to top universities create consistent demand for international talent in actuarial science, risk management, and insurance technology roles.
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Get Access To All JobsWho is Cover Whale?
Cover Whale is the nation’s leading commercial trucking insurtech. We improve road safety by combining the insurance products we sell with our telematics-based, data-driven driver coaching and safety program known as DriveSmart. Our program is proven to save lives while delivering better insurance for our drivers. Join us in the mission!
The Role: We are seeking a highly analytical, technically strong Actuarial/Data Science professional to own and evolve our end-to-end reserving and predictive modeling capabilities. This role will maintain and enhance our Python-based reserving models while building predictive models using live telematics and claims data to drive pricing, cancellation strategy, and large loss detection. The position sits at the core of our underwriting and growth strategy, directly influencing dynamic pricing, loss ratio performance, and profitable expansion. This is a very exciting and high-impact job that involves a lot of thinking, research, and creativity.
Responsibilities:
- Own and continuously improve the end-to-end reserving process, including maintaining and enhancing Python-based reserving models to improve accuracy and efficiency.
- Develop and deploy predictive models using telematics, claims, and policy data to improve pre-bind and post-bind risk selection, with measurable impact on ULR and cancellation performance.
- Build and refine large loss models using claims notes and historical data to improve early identification of high-risk claims.
- Design and implement dynamic pricing frameworks and capabilities leveraging live market and portfolio data.
- Translate complex data insights into clear actionable business recommendations for underwriting, growth, and leadership teams.
- Produce carrier-level reporting deliverables and analytical outputs that meet high-quality and compliance standards.
- Create agency-level and geographic performance insights to guide growth strategy and strategic initiatives.
- Automate recurring analyses and reporting workflows to increase speed, scalability, and reliability.
Requirements
- Experience with insurance analytics, actuarial modeling, or predictive risk modeling in the insurance industry.
- Strong proficiency in Python for statistical modeling and data analysis.
- Comfortable leveraging AI-assisted coding tools (Claude, Copilot, etc.) while critically validating outputs.
- Experience working with large-scale datasets and building production-grade analytical models.
- Demonstrated experience with actuarial reserving models or insurance forecasting methodologies.
- Experience applying machine learning techniques such as regression models, gradient boosting, classification models, or anomaly detection.
- Ability to design models that influence pricing, underwriting decisions, and portfolio risk management.
- Strong SQL and data manipulation skills.
- Experience building automated analytical pipelines or reporting workflows.
Soft skills: Curious, hard-working, thinking outside of the box, creative, attention to detail, and use of Claude code.
Preferred Qualifications: Actuary, Mathematics, Big Four consulting experience.
Candidates advancing through the interview process may be asked to complete a brief work exercise related to predictive modeling and risk analysis. The exercise is designed to reflect real-world challenges relevant to the role. Candidates completing this step will receive reasonable compensation for their time.
Benefits Compensation:
The Expected base pay for the role will be $128,000 - $192,000 at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include discretionary bonus and other Cover Whale-sponsored total rewards/benefits.
Perks/Benefits:
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k) match
- Wellness benefits, including EAP, Gym Reimbursement, etc.
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Paid Family Leave (Maternity, Paternity)
- Tuition Assistance
- Professional Training & Development
Who is Cover Whale?
Cover Whale is the nation’s leading commercial trucking insurtech. We improve road safety by combining the insurance products we sell with our telematics-based, data-driven driver coaching and safety program known as DriveSmart. Our program is proven to save lives while delivering better insurance for our drivers. Join us in the mission!
The Role: We are seeking a highly analytical, technically strong Actuarial/Data Science professional to own and evolve our end-to-end reserving and predictive modeling capabilities. This role will maintain and enhance our Python-based reserving models while building predictive models using live telematics and claims data to drive pricing, cancellation strategy, and large loss detection. The position sits at the core of our underwriting and growth strategy, directly influencing dynamic pricing, loss ratio performance, and profitable expansion. This is a very exciting and high-impact job that involves a lot of thinking, research, and creativity.
Responsibilities:
- Own and continuously improve the end-to-end reserving process, including maintaining and enhancing Python-based reserving models to improve accuracy and efficiency.
- Develop and deploy predictive models using telematics, claims, and policy data to improve pre-bind and post-bind risk selection, with measurable impact on ULR and cancellation performance.
- Build and refine large loss models using claims notes and historical data to improve early identification of high-risk claims.
- Design and implement dynamic pricing frameworks and capabilities leveraging live market and portfolio data.
- Translate complex data insights into clear actionable business recommendations for underwriting, growth, and leadership teams.
- Produce carrier-level reporting deliverables and analytical outputs that meet high-quality and compliance standards.
- Create agency-level and geographic performance insights to guide growth strategy and strategic initiatives.
- Automate recurring analyses and reporting workflows to increase speed, scalability, and reliability.
Requirements
- Experience with insurance analytics, actuarial modeling, or predictive risk modeling in the insurance industry.
- Strong proficiency in Python for statistical modeling and data analysis.
- Comfortable leveraging AI-assisted coding tools (Claude, Copilot, etc.) while critically validating outputs.
- Experience working with large-scale datasets and building production-grade analytical models.
- Demonstrated experience with actuarial reserving models or insurance forecasting methodologies.
- Experience applying machine learning techniques such as regression models, gradient boosting, classification models, or anomaly detection.
- Ability to design models that influence pricing, underwriting decisions, and portfolio risk management.
- Strong SQL and data manipulation skills.
- Experience building automated analytical pipelines or reporting workflows.
Soft skills: Curious, hard-working, thinking outside of the box, creative, attention to detail, and use of Claude code.
Preferred Qualifications: Actuary, Mathematics, Big Four consulting experience.
Candidates advancing through the interview process may be asked to complete a brief work exercise related to predictive modeling and risk analysis. The exercise is designed to reflect real-world challenges relevant to the role. Candidates completing this step will receive reasonable compensation for their time.
Benefits Compensation:
The Expected base pay for the role will be $128,000 - $192,000 at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include discretionary bonus and other Cover Whale-sponsored total rewards/benefits.
Perks/Benefits:
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k) match
- Wellness benefits, including EAP, Gym Reimbursement, etc.
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Paid Family Leave (Maternity, Paternity)
- Tuition Assistance
- Professional Training & Development
Job Roles in Insurance in Massachusetts
See all 1,287+ Insurance Massachusetts jobs
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Get Access To All JobsFrequently Asked Questions
Which insurance companies in Massachusetts sponsor visas?
Major sponsors include Liberty Mutual (headquartered in Boston), John Hancock Financial, State Street Global Advisors, and MassMutual. Boston-based firms like Berkley Insurance and smaller specialty insurers also sponsor H-1B visas for actuarial analysts, risk managers, and data scientists. Many focus on candidates with quantitative backgrounds from local universities like MIT and Harvard.
How to find insurance visa sponsorship jobs in Massachusetts?
Use Migrate Mate to search specifically for insurance roles in Massachusetts that offer visa sponsorship. Filter by company size, visa type, and location within the state. Many opportunities concentrate in Boston's Financial District, with additional openings in Cambridge and Springfield. Focus on actuarial, underwriting, and risk management positions which commonly sponsor international candidates.
What visa types are most common for insurance jobs in Massachusetts?
H-1B visas dominate for actuarial analysts, risk managers, and insurance data scientists. O-1 visas apply to senior actuaries with exceptional expertise. L-1 visas are common for international insurance companies with Boston offices. F-1 to H-1B transitions are frequent given the strong pipeline from local universities' actuarial science and mathematics programs.
Which Massachusetts cities have the most insurance visa sponsorship opportunities?
Boston leads with major insurers in the Financial District and Back Bay areas. Cambridge offers opportunities with insurance technology startups near MIT. Springfield hosts MassMutual's headquarters with regular visa sponsorship for actuarial roles. Worcester and Quincy have smaller but consistent opportunities with regional insurers and insurance service companies.
What prevailing wage considerations apply to insurance roles in Massachusetts?
Massachusetts prevailing wages for insurance professionals rank among the highest nationally, particularly in Boston. Actuarial analyst positions typically exceed national averages by 15-20%. The state's high cost of living supports higher wage determinations for H-1B applications. Insurance technology roles command premium wages due to competition with Boston's tech sector.
What is the prevailing wage for sponsored insurance jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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