Actuary

Join our Team CARFAX as an Actuary & Data Scientist Isn't it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment.  The CARFAX Advisory Services team is seeking an Actuary and Data Scientist to develop new insurance products using the most comprehensive Vehicle History database in North America along with Vehicle Characteristics data and insurance data provided by our carrier partners. This is a high-profile position with the opportunity to influence decision making at CARFAX and with the opportunity to directly with market leaders outside of CARFAX.

The position will report directly to the Director of Analytics and work collaboratively with Insurance Underwriting, Product Development, external business partners, and other internal and external stakeholders to build insurance data and score products using data analysis and machine learning techniques. What you'll be doing:

• Design and develop new statistical scoring models for use by our insurance carrier partners using machine learning techniques, including Generalized Linear Models (GLM), Principal Components Analysis (PCA), and Gradient Boosting Machines (GBM).
• Research internal data sources and identify potential products that could provide revenue opportunity in the insurance underwriting, insurance claims, or banking marketplace.
• Maintain and update current insurance products and statistical models used for insurance scoring.
• Support CARFAX Advisory services in providing filing documentation and models to regulators.
• Provide programming requirements and specifications to Product Development to support implementation and delivery of model-based scores.
• Provide quality assurance and user acceptance testing support prior to score deployment.
• Communicate project status to internal stakeholders.
• Research relevant industry activity and monitor marketplace for product opportunities.
• Give presentations at industry conferences, seminars, webinars or workshops and at internal company functions.

What we're looking for:

• Four years’ property-casualty predictive modeling or ratemaking experience, with experience in personal auto preferred.
• Proficiency in machine learning techniques including Generalized Linear Modeling and Gradient Boosting Machines, with at least two years’ experience.
• Proficiency in Microsoft Excel, Microsoft Word, and statistical programming software such as R, Python.
• Ability to communicate mathematical concepts to non-technical audiences.
• Strong organizational skills and attention to detail.
• Strong critical thinking skills, natural curiosity, and the ability to work efficiently with limited direct supervision.
• Ability to travel quarterly which includes visits to the Centreville, Virginia office and regular attendance at industry conferences and seminars.
• Bachelor’s degree in actuarial science, statistics, mathematics, or related field.
• Associate or Fellow of the Casualty Actuarial Society or other similar designation. FCAS preferred.

What’s in it for you:

• Competitive compensation, benefits and generous time-off policies
• 4-Day summer work weeks and a winter holiday break
• 401(k) / DCPP matching
• Annual bonus program
• For a comprehensive list of benefits, please visit our website: https://jobs.jobvite.com/carfax/p/benefits

Don’t just take our word for it:

• 10X Virginia Business Best Places to Work
• 9X Washingtonian Great Places to Work
• 9X Washington Post Top Workplace
• St. Louis Post-Dispatch Best Places to Work 

The anticipated base salary for this position is $103,000 to $170,000. In addition to base compensation, this role is eligible for an annual bonus. The bonus is based on company and individual performance. Individual pay is determined by several factors including location, skills, experience, education and training. The application window for this position closes when the position is filled or no longer posted. 

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time base salaries in U.S., not including benefits.  Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. 

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