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Predictive Modeling Analyst to join the Predictive Analytics team.
This role is Hybrid and requires 2-3 day in-office.
About CLIENT CLIENT is a regional property and casualty insurer with a national reputation for auto claims satisfaction. CLIENT offers Auto, Homeowners, Renters, Condo, and Umbrella insurance to individuals in Connecticut, Maryland, New Jersey, Ohio, and Pennsylvania. CLIENT also offers Workers’ Compensation, Commercial Auto, Commercial Package and Businessowners insurance to businesses in Connecticut, Delaware, Maryland, New Jersey, New York, and Pennsylvania. CLIENT’s mission is to provide value-based insurance solutions for the benefit of our policyholders while maintaining the highest levels of service, integrity, and financial stewardship.
About Actuarial The Actuarial department at CLIENT provides insight and analysis to help solve complex business problems. The department consists of the following teams: Personal Lines Pricing, Commercial Lines Pricing, Reserving, and Predictive Analytics.
The Role As a Predictive Modeling Analyst, you will collaborate with colleagues across the company to solve important business problems. Model applications cover all areas of primary insurance operations in Personal and Commercial Lines insurance, including pricing, underwriting, claims, and marketing. The analyst will be involved in all stages of model execution, including collaborating with business users, creating/testing/refining predictive models, quantifying business benefits, deploying models, and presenting results to technical and non-technical audiences. This is a hybrid position with some on-site and telecommuting availability each week.
Qualifications
- At least 2 years of predictive modeling experience or P&C actuarial experience.
- A Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, or related major.
- Experience with SAS, SQL, and MS Office.
- Excellent verbal and written communication skills.