Senior Actuarial Analyst - Property and Casualty; remote U.S
New York, New York County, New York, 10261, USA
Listed on 2026-03-11
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Finance & Banking
Actuary, Risk Manager/Analyst
Location: New York
Senior Actuarial Analyst - New York Property and Casualty (remote U.S.)
Job Category: Actuarial
Requisition Number: SENIO
010167
Posted: March 6, 2026
Full-Time
Remote
LocationsShowing 1 location
08 New York
463 7th Avenue
FL 19
New York, NY 10119, USA
Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world’s most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.
Milliman invests in skills training and career development, and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERG’s) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations.
Please visit our web site to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact and sustainability:
Milliman’s New York Property and Casualty practice (NYPC) provides a wide variety of actuarial consulting services to insurance carriers, reinsurers, and self-insureds including loss reserving, pricing, and predictive modeling. Work is shared across the practice, giving everyone the opportunity to build their skills and showcase their abilities, and take on increasing responsibilities over time.
What You Will DoIn this practice, a Senior Actuarial Analyst is responsible for core actuarial consulting work, including reserving and pricing engagements, with reserving as the primary focus. Responsibilities include performing reserve reviews, pricing analyses, developing predictive models for a range of applications, and evaluating clients’ reserving and modeling approaches to identify opportunities for methodological enhancement. The position also requires predictive modeling expertise and strong programming skills (preferably in R).
This is a tremendous career opportunity for an experienced actuary to take on direct responsibility for client work. Our ideal hire for this role is someone who enjoys thinking critically to solve a client’s business problems; pairs strong technical skills with creativity; is adept in independently managing their own workload; and is committed to the actuarial exam and credentialing process through the Casualty Actuarial Society.
AdditionalResponsibilities
- Understand, modify, and operate complex spreadsheets and database tools to analyze data and solve problems
- Receive, reconcile, manipulate, and analyze data using programming languages such as R and SQL
- Check data for consistency
- Develop and use actuarial models
- Present findings to peers, project managers, and client relationship managers
- Draft written reports and exhibits, and prepare other internal/external correspondence
- Check their own and peers’ work for accuracy
- Undertake research projects
- Perform or assist with other duties assigned at the direction of Actuaries and Principals
- Completed bachelor’s degree (at time of application) in actuarial science, mathematics, data science, statistics, or other quantitative major
- At a minimum, must have passed the following five actuarial (at time of application) – P, FM, MAS-I, MAS-II and Exam 5
- Between five and ten years of professional actuarial experience, including substantial reserving experience and meaningful predictive modeling experience, preferably within a commercial insurance or reinsurance environment
- Strong knowledge of traditional actuarial and predictive modeling methodologies (e.g., generalized linear models), along with familiarity with advanced techniques such as regularized regression, GAMs, GLMMs, tree-based methods, and Bayesian approaches
- Strong technical and programming skills, with the ability to manage data and automate complex data processes in R (preferred), SAS, SQL, or other programming languages
If you have already attained your ACAS…
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