Actuarial Data Scientist (FCAS)

Munich Re

Reinsurance

Chesapeake, VA - USA

Senior Specialist / Project Manager

Experteer Overview

In this role you will lead end-to-end pricing model development for personal lines, driving strategy in collaboration with cross-functional partners. You help shape predictive analytics initiatives that support enterprise objectives and regulatory filings. The position offers visibility and impact, with mentorship of junior data scientists and potential to expand beyond pricing into broader decision science work. You will translate complex analytics for diverse audiences while maintaining strong modeling and governance practices.

Compensation / Benefits

Health insurance: PPO or HDHP
Supplemental Life and AD&D
Voluntary Benefit plans
Prescription drug coverage
Disability coverage
Retirement plans with employer match (401k)

Responsibilities

Lead pricing model strategy for a subset of products
Develop, deploy, monitor, and maintain predictive models
Collaborate effectively with stakeholders
Manage filing schedules for aligned products
Perform predictive analytics analyses on complex projects
Present modeling results to internal and external customers and management
Tackle loosely defined problems with creative approaches
Mentor junior data scientists and analysts
Document assumptions, results, and alternatives and communicate with regulators as needed
Create and maintain modeling best practices with internal and external partners
Explain advanced analytics in accessible language to varied audiences
Prioritize workload and maintain strong organizational skills
Complete technical peer reviews as needed
Maintain strong interpersonal and business communication and relationships
Schedule and manage projects with junior team members

Key requirements

FCAS required
Proficiency in R and Python
Deep knowledge of GLMs and GBMs
Familiarity with AI/ML concepts (supervised/unsupervised, deep learning, NLP)
Databricks or similar big data platforms desired
Understanding of data structures, algorithms, and design patterns
Experience in agile environments (Scrum/Kanban)
Commitment to testing, validation, and continuous improvement of models
Project management and prioritization experience
Independent model building and analysis capability
Ability to communicate results to business partners and drive decisions
Contribute to best practices and propose new techniques
Manage projects and guide junior team members
6+ years data science/predictive analytics in insurance or 8+ years in other industries

collaboration clear communication mentorship R Python GLMs

Description

In this role you will lead end-to-end pricing model development for personal lines, driving strategy in collaboration with cross-functional …

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