Senior Actuarial Analyst

Norfolk & Dedham Insurance•Dedham, MA

About The Position

Responsibilities include, but are not limited to: Drive Pricing Excellence 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 Modernize Analytical Workflows 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 Broaden Your Impact 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

Requirements

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)
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

Nice To Haves

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

Responsibilities

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
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