Senior Assistant Actuary

Senior Assistant Actuary

The analytics focused Sr. Assistant Actuary is responsible for developing, analyzing, and maintaining pricing models for the North America Small and Lower Middle Market Workers' Compensation Line.

This role can be based in Jersey City, NJ, Whitehouse Station, NJ, Philadelphia, PA, or Simsbury, CT. Fully remote will be considered for strong candidates.

Responsibilities:

Pricing, Modeling & Implementation

1. Build and review workers' compensation predictive pricing models using advanced statistical modeling techniques with the highest level of buy-in from business partners; Set up regular and rigorous model refresh process
2. Oversee modeling initiatives with clear documentation and manage cross-functional teams including product, actuaries, data scientists/engineers via an Agile culture and delivery model
3. Research workers compensation industry trends and analyze industry data to incorporate new predicative variables into pricing models & rating plans
4. Develop and maintain non-pricing models including but not limited to pricing elasticity and demand forecast etc.
5. Lead rating implementation and governance process in externalized rating platforms and lead actuarial production support for existing rating implementations

Data & Reporting

1. Foster data integrity, quantitative discipline, and analytical rigor, including the continuous enhancement of 1st and 3rd party data used in modeling, underwriting, and monitoring
2. Conduct deep dive into existing 1^st and 3^rd party data assets and identify gaps in data availability, coverage, and accuracy; Partner with the data organization to identify root cause and rectify identified deficiencies
3. Identify and evaluate new 3^rd party data sources and oversee integration of 3^rd party data sources into pricing modeling and underwriting
4. Develop rigorous portfolio management processes to accurately monitor pricing model performance, frequency & severity trend, and business mix

Core Actuarial

1. Leverage actuarial and data science techniques to analyze patterns and trends to provide business insights on growth and profitability
2. Peer review relevant pricing and other actuarial work efforts
3. Proactively engage wider Actuarial community from other business divisions to drive knowledge sharing and synergy on pricing model utilization