This role will be a key part of our recently created Insurance Analytics team. This position drives the analytics behind product enhancements resulting in more competitive offerings and prices that better match risk and rate. The position partners with line of business leads and information systems to find creative solutions that balance statistical elegance with real world constraints. The candidate conducts research, performs data analysis, and develops predictive model-enabled solutions to solve critical business problems.
Core Job Duties & Responsibilities:
Participate in strategic discussions across all product lines of business – Automobile (Personal & Commercial), Homeowners, Dwelling Fire, Business Owners(BOP), Artisan Contractors, Workers Compensation, and Umbrella
Solve complex business problems by leveraging the latest analytical tools and techniques
Create new reports and tools for improved data consumption throughout the organization
Lead product development initiatives from data collection through analytical solution and implementation
Evaluate success and drive continuous improvement in product enhancements
Serve as expert and educator on predictive modeling techniques and analytical software
About the Team:
The Insurance Analytics team was formed in 2016 with the foundational goal of creating a data-driven decision making process that will lead to more competitive offerings and improved product performance. The team is responsible for the product management, actuarial pricing and compliance functions for the organization.
Minimum Job Requirements:
Education: Applicants must possess a Bachelor’s degree or higher in Mathematics, Computer Science, Actuarial Science, Data Science, Statistics, or related STEM/analytics-oriented discipline. Professional insurance related coursework such as Actuarial exams, CPCU, AINS are a plus.
Experience: Foundational knowledge of analytic, product management, actuarial and/or insurance concepts demonstrated by a minimum of 4 years related professional experience. Candidates should be familiar with multi-variate modeling techniques, actuarial methods, or other complex quantitative analytics.
Programming experience in SQL, C++, Visual Basic, or related
Demonstrated technical aptitude in analytical tools such as R, Tableau or SAS
Demonstrated ability to build, update, and prepare datasets for analysis
Excellent analytical, problem solving and critical thinking skills
Self-motivated with a “get it done” attitude
Committed to continuous knowledge development and able to quickly grasp new concepts and technologies
Constant attention to detail
Ability to work independently and as a team player
Ability to exercise discretion and apply independent judgment
Excellent listening and communication skills (both verbal and written)
Flexibility to handle assignments in various stages of completion at the same time
Mutual Benefit Group is a regional property/casualty company serving Pennsylvania and Maryland. The Company has a financial strength rating of A- (Excellent) from the A.M. Best Company; posted consolidated assets of $232.2 million in 2016; and offers a full line of personal and commercial insurance coverage, including homeowners, automobile, commercial package plans, business owners, contractors,... workers’ compensation, inland marine, and umbrella through its member underwriting companies, Mutual Benefit Insurance Company and Select Risk Insurance Company. Mutual Benefit Group is represented by 250 independent agencies, serves 75,000 policyholders, employs 155 people and was founded in 1908. The Company serves a mix of business that is approximately 60% personal insurance and 40% business insurance.