Senior 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 Proactively engage wider Actuarial community from other business divisions to drive knowledge sharing and synergy on pricing model utilization

Qualifications:

Demonstrated actuarial proficiency with workers compensation insurance pricing practices via significant prior work experience or ACAS/FCASAt least 2 years’ experience in data science or predicative modeling. Experience of building & implementing commercial lines pricing models is a plusIntermediate knowledge in statistical analysis and multivariate procedures. Knowledge of machine learning techniques and data mining is a plusExcellent analytical and quantitative analysis skillsProficiency 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 plusStrong 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 skillsExcellent business acumen and strategic thinking

 

The pay range for the role is $116,00 to $190,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.