• Extract, prepare, and validate policy, claims, and external data for pricing studies and actuarial analysis.
• Develop pricing indications, loss cost models, rate revisions, and rate monitoring reports.
• Apply exposure and experience rating techniques based on data quality and availability.
• Analyze loss development, trends, IBNR allocations, inflation, catastrophe impacts, and changes in portfolio risk.
• Incorporate product changes and rating factors into new or revised rates.
• Support rate filings by preparing exhibits, evaluating base rate changes and dislocations, reviewing competitor filings, and checking regulatory requirements.
• Build quality control processes to improve the accuracy of pricing analyses and filing materials.
• Partner with data and technology teams to define the data elements needed for pricing, rating, and filing use cases.
• Use statistical methods and predictive modeling techniques, such as GLMs, XGBoost, or Lasso, where appropriate.
• Identify opportunities to automate data preparation, analysis, and reporting.
• Manage project plans and timelines, and present findings and recommendations to actuaries, product teams, and senior leadership.
• Share knowledge and help train team members on pricing and filing tools and techniques.

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field.
• Strong experience in P&C actuarial pricing, including loss cost modeling, rate indications, rate revisions, and rate monitoring.
• Experience analyzing large policy, claims, and external datasets.
• Knowledge of insurance rate filings, regulatory requirements, and filing exhibits.
• Proficiency in Excel and at least one analytical tool such as R, Python, or SAS.
• Strong quantitative, problem-solving, and communication skills.
• Ability to work independently and collaborate across actuarial, underwriting, product, and data teams.
• Progress toward an actuarial designation is preferred; ACAS or FCAS is a plus.

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