Product Analyst, P&C Pricing (Hybrid) -St. Petersburg, FL

Product Analyst, P&C Pricing (Hybrid) -St. Petersburg, FL

FinTrust Connect has partnered with a well-capitalized commercial property and casualty insurer in St. Petersburg, FL to identify a Product Analyst for its underwriting and product team. This role is a strong fit for pricing, actuarial or underwriting analysts who want their work to drive real pricing, product and growth decisions.

Why this opportunity?

• Impact: Your analysis feeds directly into pricing, product strategy, growth and reinsurance decisions, with visibility to leadership.
• Workplace: Hybrid. In office Monday through Wednesday in downtown St. Petersburg, remote Thursday and Friday.
• Function: Support commercial lines pricing and product strategy through portfolio analysis, rate and competitor research, forecasting and statistical modeling.

Requirements:

• Experience with P&C insurance premium and loss data in pricing, rate analysis, filings, underwriting analytics or a closely related area
• Hands-on SQL plus R or Python
• Experience turning large datasets into clear business recommendations and presenting them to technical and non-technical audiences
• Working knowledge of financial forecasting and projections
• Master's degree in Finance, Business Analytics, Risk Management or a related field with 3+ years of relevant experience, or a Bachelor's degree with 5+ years

Preferred:

• Multivariate or generalized linear modeling (GLM)
• Advanced Excel with VBA; Power BI or Tableau
• Machine learning
• Catastrophe modeling or reinsurance analysis
• Commercial lines experience (BOP, commercial property, general liability)

Description:

• Analyze premium, loss and underwriting data on calendar, accident and policy year bases to identify trends and performance drivers
• Prepare rate comparisons and analysis that support pricing and product updates
• Monitor competitor rate filings and market activity and summarize the changes that matter
• Build premium forecasts and track the results of business initiatives after launch
• Apply statistical methods to underwriting and portfolio data to support profitable growth
• Contribute to catastrophe and reinsurance analysis
• Partner with Product Management and IT to document business rules and test system changes
• Review internal and external analysis for accuracy and consistency, and present findings to underwriting, product, sales and leadership