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Actuarial Modeling & Technical Manager

Marsh Agency

Actuarial Modeling & Technical Manager

New York, New York, United States · Hybrid · Yesterday

Salary
$100k - $150k
Experience
3+ Years

Role Summary

Role type

Actuarial data-science crossover

Closer to a data-science crossover than a pure modelling-heavy IC role because production engineering, cloud data, ML, and workflow operationalization are central.

Manager-level P&C actuarial consulting role in New York or another US/Canada location, with a hybrid pattern of at least three days per week in an office or at client sites. You will build and operationalize pricing, reserving, underwriting, and claims models, translating actuarial requirements into production-ready Python/R workflows and partnering with engineering. The role also includes client recommendations, practice tooling, and business development.

Requirements

Must have

  • 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, GLM, machine learning) for frequency/severity, loss cost

Strongly preferred

  • Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous
  • Experience with Git/GitHub and Databricks preferred
  • Excellent communication skills and demonstrated ability to translate complex technical work into clear business recommendations
  • Intellectual curiosity, self-motivation, and ability to deliver against tight deadlines in a client-facing consulting environment

Nice to have

  • 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

Skills & Domain

ToolsGit_GitHubPower_BI
DomainP&C pricing, reserving, or claims analyticsBuilding predictive models (GLM, machine learning)P&C modeling for frequency/severity, loss cost

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