Senior FCAS Actuarial Data Scientist: Pricing Strategy

Munich Reinsurance America, Inc; Cincinnati (OH); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with employer match

Paid time off

Tuition assistance

On-site cafeteria

Job summary

Munich Reinsurance America, Inc. through its American Modern Predictive Analytics team seeks a Principal Data Scientist to lead end-to-end pricing model development for personal lines. You will drive model strategy, mentor junior data scientists, and collaborate with stakeholders.

The role offers a hybrid work environment with opportunities to influence enterprise pricing and predictive analytics initiatives across the US.

Qualifications

• FCAS required.
• Proficient in R and Python.
• Strong GLM/GBM understanding.
• Familiar with AI/ML concepts including NLP.
• Experience with big data platforms (Databricks) is a plus.

Responsibilities

• Lead pricing model strategy for a subset of products.
• Develop, deploy, monitor, and maintain predictive models.
• Collaborate with stakeholders across functions.
• Manage filing schedules for aligned products.
• Present predictive analytics results to internal/external customers.

Skills

FCAS

R and Python

GLMs & GBMs

ML concepts

Databricks

Data structures

Agile/Scrum

Model testing

Project management

Education

Master's in Analytics/Statistics/CS/OR

Tools

Databricks

Job description

Munich Reinsurance America, Inc. through its American Modern Predictive Analytics team seeks a Principal Data Scientist to lead end-to-end pricing model development for personal lines. You will drive model strategy, mentor junior data scientists, and collaborate with stakeholders.

The role offers a hybrid work environment with opportunities to influence enterprise pricing and predictive analytics initiatives across the US.