Planning Analytics & Risk Management - Predictive Modeler

Cincinnati Financial•Fairfield, OH

10d•$120,000 - $200,000•Onsite

About The Position

At The Cincinnati Insurance Companies, we put people first and apply the Golden Rule to our daily operations. To put this into action, we’re looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person®. If you’re ready to build productive relationships, collaborate within a diverse team, embrace challenges, and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow. Our commercial & operations modeling department is currently seeking an experienced predictive modeler. This role is responsible for developing and maintaining multivariate underwriting models that analyzing multiple risk factors simultaneously, enabling more accurate assessment, pricing, and selection of insurance risks while improving profitability and portfolio performance. This position is based at our Headquarters in Fairfield, Ohio. The pay range for this position is $120,000 - $200,000 annually. The pay determination is based on the applicant’s education, experience, location, knowledge, skills, and abilities. Eligible associates may also receive an annual cash bonus and stock incentives based on company and individual performance.

Requirements

strong analytical and technical skills, including coding, and use of tools such as SAS, Excel, Python, R or other statistical software tools
experience working with insurance data or other large datasets
knowledge of predictive modeling methodologies and model development best practices
practice in applying statistical, machine learning, predictive modeling, or analytical techniques to solve business problems
effective written, verbal, and presentation skills, with the ability to communicate actuarial analyses through reports, charts, and stakeholder discussions
a bachelor’s degree in mathematics, statistics, economics, physics, engineering, actuarial science, or some other related field (required)

Nice To Haves

three or more years of property and casualty actuarial or modeling experience (preferred)
a master’s or PhD in a quantitative field of study (preferred)
ACAS or FCAS designation, or commitment to attaining the FCAS designation

Responsibilities

develop and maintain multivariate underwriting models for business insurance
develop and implement multivariate statistical and machine-learning models for claims management
develop and maintain tools for assessment and monitoring of predictive models
develop analytic studies of profitability and growth
conduct research leading to potentially useful models for insurance pricing, underwriting, and claims
interact with several departments within the company, including Commercial Lines, Personal Lines, Claims, and IT