Senior Actuarial Analyst

Responsibilities include, but are not limited to:

• Perform rate reviews by state and line of business, including rate indications, disruption analyses, and state filing exhibits
• Build and implement predictive models to enhance pricing sophistication
• Research competitor pricing, industry trends, and emerging risk dynamics

• Thoughtfully apply AI-enabled tools to accelerate analysis, documentation, and insight generation (e.g. exploratory analysis, code prototyping, model diagnostics, and communication)
• Apply machine learning techniques for pricing refinement
• Streamline data preparation and analysis through automation
• Identify opportunities to eliminate manual processes and improve speed-to-insight
• Solve Complex Business Problems
• Investigate open-ended questions from senior management
• Translate findings into clear, actionable recommendations
• Analyze how shifts in mix of business affect profitability
• Evaluate drivers of performance deterioration in specific segments
• Assess financial impact of reserving or reinsurance changes

• Support reserving and reinsurance pricing and renewals
• Communicate methodologies and results to technical and non-technical audiences
• Stay current on industry developments and proactively share insights
• Take ownership of improving processes and strengthening analytical capabilities

• Bachelor’s degree
• 4–5 years of progressively responsible actuarial experience in property & casualty insurance
• Demonstrated ability to independently scope, execute, and communicate actuarial analyses with limited direction
• Completion of approximately 4–5 actuarial exams (progress welcomed but not the primary driver of advancement)
• Effective interpersonal and communication skills, both verbal and written.
• Ability to manage multiple tasks and work under pressure to meet deadlines.
• Collaborative with a customer-service mindset.

• Strong Excel skills required
• Experience automating analytical workflows (VBA, Python, or similar scripting tools)
• Experience with SQL, R, and/or Python preferred
• Demonstrated interest in experimenting with and applying new tools — including AI-enabled analytics — to real business problems

• Strong background in mathematics and statistics
• Sound business and financial judgment
• Clear written and verbal communication skills
• Ability to balance multiple projects and prioritize effectively
• Ability to translate complex quantitative analysis into clear business implications
• Comfort working both independently and collaborative