Actuarial Modeling & Technical Manager

Company Overview

The Actuarial Consulting Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. Our actuaries hold the highest professional qualifications and provide independent, objective advice in healthcare, life & annuity, and property & casualty. We use mathematical and statistical modeling skills and qualitative assessment methodologies to help clients manage and prepare for the potential financial consequences of uncertain future events.

Hybrid/Remote – Flexible location, preferably in the US/Canada (New York, Chicago, Montreal). Full‑time.

Oliver Wyman’s US P&C Actuarial Consulting Practice is hiring an Actuarial Modeling & Technical Lead for the Actuarial Modeling, Analytics & Transformation team. The role focuses on hands‑on development, validation, and operationalization of actuarial models and workflows, translating business requirements into production‑ready code and tools. You will collaborate closely with engineering to deliver auditable, reproducible solutions, with an appetite for AI‑enabled development.

• 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 transform complex datasets into clear client‑ready reporting, dashboards, and 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 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 (regression type, GLM/GMB, advanced machine learning) for frequency/severity, loss cost, and other relevant use cases.
• Strong technical skills with actuarial tools and experience with Python, R, or SQL (Git/Git Hub and Databricks experience preferred).
• Familiarity with cloud ML and data platforms (Azure ML) and ML Ops practices a plus.
• Experience with visualization tools (Power BI, matplotlib/ggplot) and dashboarding 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.

The applicable base salary range for this role is $100k – $150k USD. 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, 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 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.