VP, Reinsurance Actuary
As a Reinsurance Actuary on the Global Analytics team, you will be an individual contributor who serves as a strategic actuarial and analytics partner to brokers and clients. With minimal supervision, you will build and communicate complex analyses that evaluate assumptions, premiums, and risk; assess industry factors affecting loss liabilities; and consult with clients on reinsurance actuarial services to help assess and mitigate risk. You’ll integrate the GC view, client view, and market view to deliver technically rigorous and commercially actionable insights. Additionally, you’ll help modernize workflows by using AI to streamline analyses and leveraging modern tooling such as Databricks and Python to improve speed, consistency, and scalability.
The position can be based in our New York City, Morristown, Philadelphia, Minneapolis, Dallas, Atlanta, Seattle, San Francisco, or Chicago office. This is a hybrid role requiring at least three days a week in the office.
Responsibilities
- Consult with brokers on client needs and advise on reinsurance programs based on risk tolerance and industry trends to help clients mitigate risk.
- Communicate strategically with brokers, reinsurers, and clients to anticipate needs and drive usage of reinsurance actuarial services.
- Implement complex models and calculations to assess risk and develop pricing and strategies for a range of risk exposures.
- Evaluate how reinsurance structures and expected results impact the client’s overall financial standing (e.g., earnings volatility, capital position) and ensure program design meets client needs.
- Use AI-enabled approaches to streamline and augment repeatable work (e.g., analysis setup, sensitivity testing, QA checks, documentation, and executive summaries) while maintaining actuarial standards and controls.
- Help create broking-aligned strategies that support revenue generation, including identifying opportunities and positioning analytics-led solutions that strengthen client relationships.
Requirements
- ACAS with 5–7 years in the industry.
- Bachelor’s degree in Actuarial Science, Economics, Math, Statistics, or related field.
- Pricing, valuation, and/or capital modeling experience.
- Strong skills in Microsoft Office suite.
- Visualization skills (Power BI, Tableau, or similar).
- Excellent communication skills (verbal and written).
- Coding experience in programming languages/tools (e.g., Python, Alteryx, R, VBA, SQL); comfort working with modern analytics platforms such as Databricks.
- Comfortable working in interactive teams with brokers and clients.
- Ability to lead day-to-day parts of a project and make decisions to keep projects moving forward.
- Strong problem-solving skills.
Preferred Qualifications
- Reinsurance actuarial, stochastic modeling, and/or capital modeling experience.
- Experience influencing senior management.
- Diverse background working in various roles and lines of business.
- Demonstrated use of automation/AI to improve analytical efficiency and consistency.
Benefits
- Professional development opportunities, interesting work, and supportive leaders.
- Vibrant and inclusive culture with talented colleagues.
- Career opportunities, benefits, and rewards to enhance well-being.
- Health and welfare benefits, tuition assistance, 401K savings, and other retirement programs.
- Employee assistance programs.
Pay
The applicable base salary range for this role is $114,700 to $210,400. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.