Mid-Level Decision Science Analyst - P&C Analytics
Core
Optimizing underwriting strategies and driving profitable growth in Personal Lines Property & Casualty insurance through data analysis and risk management.
Role type
Mid-level decision science analyst (P&C Analytics)
Builds
Underwriting strategies, risk mitigation models, and business insights for P&C insurance products.
Domain
Insurance (Property & Casualty) + Quantitative Analytics
Deliverable
production ML models
Required skills
SQL, SAS, BI tools, statistical modeling, data visualization, EDA, data hygiene, risk measurement
Preferred skills
Python, storytelling with data, statistical modeling principles, P&C insurance domain knowledge
Responsibilities
Collaborate with cross-functional teams on business objectives, apply advanced analytical techniques to solve medium-to-large scale business problems, translate recommendations into communication materials for management, gather and integrate disparate data sources, document assumptions and methodology, ensure risks are identified and controlled per compliance policies.
Seniority
Mid-level, hands-on IC