The Plymouth Rock Group of Companies is looking to drive profit-focused technical excellence and innovation by developing new predictive models and analytical techniques for insurance pricing, underwriting, and product strategies.
Requirements
- Practical experience in Econometrics and Statistics, preferably in a business context.
- Knowledge of, and experience with, the technical aspects of insurance is a plus.
- Proficiency with modeling programming language (SQL, R, SAS, Python).
Responsibilities
- Research and development of new predictive models and new analytical techniques around insurance pure premiums, customer lifetime value, customer buying behaviors and other related topics utilizing internal and external data.
- Work with internal and external data to understand key drivers of expected insurance losses and lifetime customer value.
- Acquire an understanding of various internal and external data sources.
- Test hypotheses using available data.
- Develop and enhance models used in a variety of contexts within the product management structure of Plymouth Rock.
- Advance the modeling capabilities within Plymouth Rock and transferring those advancements to other product management personnel.
- Facilitate the application of models developed considering the regulatory and competitive contexts within which we operate.
Other
- Graduate Student from a program (doctoral preferred) in the areas of economics, statistics, or a related field (background in Bayesian statistics preferred).
- Strong written and oral communication skills and an ability to communicate technical concepts to both technical and non-technical audiences.
- High standards for the work products delivered.
- Creative thinker with the ability to synthesize information from various sources and apply that information to concrete business problems.
- Flexibility and resiliency characteristic of a professional.
