Data Scientist: Catastrophe Risk & Portfolio Analytics

American Modern Insurance Group; Cincinnati (OH); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Two options for health insurance (PPO/

Prescription drug coverage

Vision and dental insurance

Short and Long Term Disability

Life and AD&D

Voluntary Benefits

Job summary

American Modern Insurance Group, a Munich Re company, is seeking a Data Scientist to join our Portfolio Management and Reinsurance team in Amelia, Ohio. You will support catastrophe modeling workflows, manage exposure data, and develop dashboards to inform risk decisions across the organization.

The role emphasizes data quality, cross-functional collaboration, and deliverables that drive portfolio optimization and risk insights, with a hybrid work environment and opportunities for growth within

Qualifications

• 2 years of data science experience in (re)insurance or related field.
• Familiarity with catastrophe risk concepts and exposure data is expected.

Responsibilities

• Support catastrophe modeling, portfolio management, and risk analytics through data preparation, validation, and analysis.
• Perform exposure data management including collection, cleansing, transformation, and enrichment.
• Identify data quality issues and recommend remediation actions.
• Develop reports, dashboards, and analytical tools for portfolio risk and catastrophe exposure.

Skills

Python

SQL

Databricks

Power BI

Data wrangling

Data validation

Analytics

Communication

Education

Bachelor’s or Master’s degree in Business Analytics, Statistics, Actuarial Science, Economics, Finance, Mathematics or Computer Science

Tools

Moody's RMS

Verisk/AIR

Job description

American Modern Insurance Group, a Munich Re company, is seeking a Data Scientist to join our Portfolio Management and Reinsurance team in Amelia, Ohio. You will support catastrophe modeling workflows, manage exposure data, and develop dashboards to inform risk decisions across the organization.

The role emphasizes data quality, cross-functional collaboration, and deliverables that drive portfolio optimization and risk insights, with a hybrid work environment and opportunities for growth within