Health & Actuarial Consulting Analyst

Summary

Oliver Wyman’s US P&C Actuarial Consulting Practice is hiring an Actuarial Modeling & Technical Lead to join our Actuarial Modeling, Analytics & Transformation team. The role focuses on hands‑on development, validation, and operationalization of actuarial models and workflows, understanding actuarial and business requirements and converting them into production‑ready code and tools. The position pairs closely with engineering to deliver auditable, reproducible actuarial solutions.

Candidates should combine strong P&C actuarial experience with practical software skills and an appetite for AI‑enabled development. The role requires deep, hands‑on actuarial modeling experience in pricing, underwriting, claims, and/or reserving (model building, rater build, actuarial process improvement, accelerators, and tool builds).

• Build, test, document, and maintain actuarial logic implemented in code (Python/R) or modeling platforms, ensuring reproducible, version‑controlled workflows.
• Design and implement end‑to‑end actuarial workflows across pricing, reserving, underwriting, and claims analytics; create developer‑ready specifications and technical documentation.
• Leverage AI‑assisted development tools, cloud platforms and machine learning algorithms to improve modeling, code generation, automated testing, and documentation while maintaining actuarial governance and correctness.
• Perform exploratory data analysis, validate data pipelines (SQL, Databricks, Azure), and turn complex datasets into clear recommendations with client‑ready reporting, dashboards, and relevant visualizations.
• Act as the liaison between actuarial subject matter experts and engineering teams: translate actuarial specifications into technical requirements, review implementations, and validate via unit and integration tests.
• Contribute to practice tooling, best practices, and business development; represent the practice at industry events.

• Actuarial credentials (e.g., FCAS/FIA/ACAS) or active progress toward a recognized actuarial qualification.
• 3+ years of P&C actuarial experience in consulting or insurance with hands‑on work in pricing, reserving, or claims analytics.
• Demonstrated experience in P&C modeling, building predictive models (e.g., regression type, GLM/GMB-type, advanced machine learning models) for frequency/severity, loss cost, and other relevant actuarial use cases.
• Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous. Experience with Git/Git Hub and Databricks is preferred.
• Familiarity with cloud ML and data platforms (Azure ML) and MLOps practices is a plus.
• Experience with visualization tools (Power BI, matplotlib/ggplot) and dashboarding is a plus.
• Excellent communication skills and demonstrated ability to translate complex technical work into clear business recommendations.
• Intellectual curiosity, self‑motivation, and the ability to deliver against tight deadlines in a client‑facing consulting environment.

We invest in our people by fostering a safe and inclusive environment, respecting and welcoming different perspectives, promoting an ownership culture, and providing opportunities for individuals to develop their personal brand. We celebrate successes, reward performance, and offer an array of benefits including health and welfare benefits, tuition assistance, 401(k) savings, and employee assistance programs.

Marsh McLennan is committed to embracing a diverse, inclusive, and flexible work environment. We aim to attract and retain the best people regardless of their sex/gender, marital or parental status, ethnic origin, nationality, age, background, disability, sexual orientation, gender identity, or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting.

The applicable base salary range for this role is $100,000 – $150,000 USD. Base pay will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. In addition to the base salary, this position may be eligible for performance‑based incentives. We offer a competitive total rewards package that includes health and welfare benefits, tuition assistance, 401(k) savings, and other retirement programs, as well as employee assistance programs.

Remote type:
Hybrid/Remote. Locations:
Flexible, but preferably in US/Canada (New York, Chicago, Montreal). Time type:
Full time.