Planning Analytics & Risk Management - Predictive Modeler

Cincinnati Insurance Company; Fairfield, Northern (OH, KY); Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Annual bonus

Stock incentives

Job summary

The Cincinnati Insurance Companies in Fairfield, Ohio is seeking an experienced predictive modeler to develop and maintain multivariate underwriting models that analyze risk factors for better pricing and profitability.

This role offers a pay range of $120,000 to $200,000 annually, with eligibility for an annual bonus and stock incentives based on company and individual performance.

Qualifications

• Strong analytical and technical skills with coding ability.
• Experience with insurance data or large datasets.
• Knowledge of predictive modeling methodologies and best practices.

Responsibilities

• Develop and maintain multivariate underwriting models for business insurance.
• Develop and implement multivariate statistical and machine-learning models for claims management.
• Develop tools for assessment and monitoring of predictive models.
• Develop analytic studies of profitability and growth.
• Research models for insurance pricing, underwriting, and claims.
• Interact with Commercial Lines, Personal Lines, Claims, and IT.

Skills

Analytical skills

Coding

SAS

Excel

Python

R

Education

Bachelor's degree in mathematics, statistics, economics, physics, engineering, actuarial science, or related field

Master's or PhD in a quantitative field (preferred)

ACAS or FCAS designation (preferred)

Tools

SAS

Excel

Python

R

Job description

MAKE A DIFFERENCE Share your talents and develop your skills as you build a career in a professional environment with a personal feel.

Description

Make a difference with a career in insurance

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 thatActions 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.

Build your future with us

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.

Be ready to:

• 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

Be equipped with:

• 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

Bring education and experience from:

• a bachelor's degree in mathematics, statistics, economics, physics, engineering, actuarial science, or some other related field (required)
• 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

Enhance your talents

Providing outstanding service and developing strong relationships with our independent agents are hallmarks of our company. Whether you have experience from another carrier oryou'renew to the insurance industry, we promote a lifelong learning approach. Cincinnati provides you with the tools and training to be successful and to become a trusted, respected insurance professional - all while enjoying a meaningful career.

Enjoy benefits and amenities

Your commitment to providing strong service, sharing bestpractices and creating solutions that impactlives is appreciated. To increase the well-being and satisfaction of our associates, we offer a variety of benefits and amenities.

Embrace a diverse team

As a relationship-based organization, we welcome and value a diverse workforce. We grant equal employment opportunity to all qualified persons without regard to race; creed; color; sex, including sexual orientation , gender identity and transgender status ; religion; national origin; age; disability; military service; veteran status; pregnancy; AIDS/HIV or genetic information; or any other basis prohibited by law. All job applicants have rights under Federal Employment Laws. Please review this information to learn more about those rights.