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About the Role
This position will be critical in advancing our mission to drive profit-focused technical excellence and innovation within the Plymouth Rock Group of Companies. The position will be responsible for 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. This work will be used in setting pricing, underwriting and product strategies for the Plymouth Rock group of Companies. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession.
Responsibilities
- 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.
- Elicit hypotheses from internal personnel regarding key variables and test those 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 transfer those advancements to other product management personnel.
- Work with the product community to facilitate the application of models developed considering the regulatory and competitive contexts.
- Ensure models are well understood, implications are appropriately assessed, implementation plans are defined, validation of results are undertaken, and adjustments are made rapidly.
Requirements
- Graduate student from a program (doctoral preferred) in economics, statistics, or a related field.
- Practical experience in Econometrics and Statistics, preferably in a business context.
- Strong written and oral communication skills.
- Ability to communicate technical concepts to both technical and non-technical audiences.
- High standards for 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.
- Knowledge of, and experience with, the technical aspect of insurance is a plus.
- Proficiency with modeling programming language (SQL, R, SAS, Python).
Skills
- Bayesian statistics
- Econometrics
- Statistics
- SQL
- R
- SAS
- Python
Location
- Boston, MA
Work Type
- In-office
- Internship/Co-op
Experience Level
- Graduate Student
Education Level
- Doctoral preferred
Salary/Compensations
- $30-$35 per hour
Benefits
- Friendly and collaborate work culture
- Free On-site gym access
- Free Coffee and Snacks
- Company social events
- Lunch and Learn Leadership program
- Business Casual dress code (Can wear jeans and sneakers!)
- Convenient Location – across from South Station!
About the Company
- The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic.
- We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry.
- The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts.
- Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.