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Actuarial Analyst

Job in Bristol, Hartford County, Connecticut, 06010, USA
Listing for: Lancashire Group
Full Time position
Listed on 2026-06-07
Job specializations:
  • Finance & Banking
    Actuary, Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Actuarial Analyst

Department: Actuarial

Employment Type: Permanent - Full Time

Location: Connecticut

Reporting To: Richard Day

Description

We are seeking a motivated Actuarial Analyst to support modelling and reporting across pricing, reserving, capital or risk management activities. This role is well suited to a recent graduate or early‑career professional who is building a career in actuarial science and working towards a recognized professional qualification. Lancashire US offers structured training, study support for professional qualifications, mentoring from experienced actuarial colleagues, and the opportunity to work on meaningful projects in a collaborative environment.

This role provides a strong foundation for long‑term career development within the actuarial profession.

Key Responsibilities
  • Assist in analysing data and experience trends to support portfolio optimization and decision‑making.
  • Support the development, testing and maintenance of actuarial rating models and assumptions.
  • Prepare regular reports, summaries and management information for internal stakeholders.
  • Contribute to pricing, reserving, forecasting and capital modelling work.
  • Collaborate with teams such as underwriting, finance, risk and data to gather insights and feedback analysis.
  • Support regulatory, audit or financial reporting requirements as needed.
  • Continue professional development and make progress towards actuarial exams, if on the exam track.
Skills, Knowledge and Expertise
  • Bachelor’s degree or background in Actuarial Science, Mathematics, Statistics, Economics or a related quantitative discipline.
  • Proficiency in Microsoft Excel; familiarity with tools such as R, Python, SQL, VBA or Power BI is an advantage.
  • Strong numerical, analytical and problem‑solving skills.
  • Ability to communicate technical findings clearly to non‑technical audiences.
  • Willingness to learn, take feedback and work collaboratively in a team environment.
  • Commercial awareness and an interest in risk, insurance and financial outcomes.
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