What are the responsibilities and job description for the Senior Actuarial Analyst position at Norfolk & Dedham Insurance?
Job Details
Description
Responsibilities include, but are not limited to:
Drive Pricing Excellence
Description
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
- 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