DescriptionSenior Assistant Actuary
Description
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
- 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
- Oversee modeling initiatives with clear documentation and manage cross-functional teams including product actuaries data scientists/engineers via an Agile culture and delivery model
- Research workers compensation industry trends and analyze industry data to incorporate new predicative variables into pricing models & rating plans
- Develop and maintain non-pricing models including but not limited to pricing elasticity and demand forecast etc.
- Lead rating implementation and governance process in externalized rating platforms and lead actuarial production support for existing rating implementations
Data & Reporting
- Foster data integrity quantitative discipline and analytical rigor including the continuous enhancement of 1st and 3rd party data used in modeling underwriting and monitoring
- Conduct deep dive into existing 1st and 3rd 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
- Identify and evaluate new 3rd party data sources and oversee integration of 3rd party data sources into pricing modeling and underwriting
- Develop rigorous portfolio management processes to accurately monitor pricing model performance frequency & severity trend and business mix
Core Actuarial
- Leverage actuarial and data science techniques to analyze patterns and trends to provide business insights on growth and profitability
- Peer review relevant pricing and other actuarial work efforts
- Proactivelyengage wider Actuarial community from other business divisions to drive knowledge sharing and synergy on pricing model utilization
QualificationsQualifications:
- Demonstrated actuarial proficiency with workers compensation insurance pricing practices via significant prior work experience or ACAS/FCAS
- At least 2 years experience in data science or predicative modeling. Experience of building & implementing commercial lines pricing models is a plus
- Intermediate knowledge in statistical analysis and multivariate of machine learning techniques and data mining is a plus
- Excellent analytical and quantitative analysis skills
- Proficiency in SQL Python and or R; hands on coding is expected in this role
- Working knowledge of version control through GIT
- Experience working in digital driven ecosystems/companies a plus
- Strong organizational skills able to work well under deadlines in a changing environment and perform multiple tasks effectively and concurrently. Produces accurate work products in a timely manner
- Strong written and oral communication skills
- Excellent business acumen and strategic thinking
Required Experience:
Senior IC