Predictive Modeler - Auto Pricing (Hybrid)

This role will bring data driven solutions to auto pricing challenges. You will collaborate closely both within and across teams to build modeling processes, iteratively enhance model performance, and share out results to stakeholders. Furthermore, you will work with product and IT teams to implement models into production and then monitor/adjust based on changing markets and future trends. Ideal candidates have prior insurance pricing experience, as well as modeling experience. Both actuarial and data science backgrounds will be considered, with the appropriate skillset.

In this hybrid role, you will be expected to work a minimum of 10 days per month from the office. Candidates should reside within approximately 35-50 miles from one of the following office locations: Madison, WI 53783, Boston MA, 02110 or Eden Prairie, MN 55343. You will report to a Senior Manager, Predictive Modeling.

Internal candidates are encouraged to apply and should review the internal mobility guidelines in the hybrid policy reference guide for more information on potential relocation.

#LI-Hybrid

Position Compensation Range:
$111,000.00 - $190,000.00

Pay Rate Type:
Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Primary Accountabilities

• Lead development of pricing models for new products and rating structures.
• Explore new concepts, statistical models, and data sources to deliver innovative solutions for the business.
• Optimize model capabilities and collaborate with key stakeholders to ensure models are developed to deliver on a broad array of business needs.
• Gain a thorough understanding of existing models and lead future model enhancement efforts.
• Perform analysis of emerging experience, monitor marketplace and economic trends and review implications.
• Support development of a modeling framework.
• Build and test models and investigates areas for future improvement.
• Regularly communicate research findings and analysis to management.
• Effectively work with any number of other cross functional/operational areas (e.g. product development, state management, actuarial pricing, IT) on specific initiatives.
• Prepare state filing model support and assist on filing objections.
• Act as a mentor for less experienced actuaries/data scientists and interns.
• May perform other duties as assigned.

Specialized Knowledge & Skill Requirements

• Demonstrated experience providing customer-driven solutions, support or service.
• Ability to work as part of a team and to communicate effectively
• Proficiency in programming languages suitable for database access, scripting, statistical analysis, and system development
• Understanding of software development best practices including source control, coding standards and testing frameworks
• Demonstrated experience formulating, approaching, and solving complex analytical problems using a quantitative, scientific approach
• Demonstrated experience working with large, complex datasets using big data technologies and script
• Solid knowledge and understanding managing data to scale using data summarization, query and analysis software and tools

Additional Specialized Knowledge & Skills

• Extensive knowledge and understanding of property and casualty products, pricing, rates and industry trends

• One or more years of relevant actuarial modeling experience

• Preferred proficiency in SQL and Python
• Demonstrated experience, communicating complex actuarial analysis to business partners
• Advanced knowledge of and demonstrated experience using actuarial software with database tools and statistical tools
• Extensive knowledge and understanding of underwriting guidelines and concepts, pricing, ratemaking, loss reserving, modeling or reinsurance depending upon area of specialty
• Demonstrated experience performing statistical/actuarial analysis and data forecasting and modeling techniques
• Extensive knowledge and understanding of forecasting and statistical analysis and modeling
• Solid knowledge and understanding of profitability, growth and risk concepts

Additional Information

• Offer to selected candidate will be made contingent on the results of applicable background checks
  
• Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  
• Sponsorship will not be considered for this position unless specified in the posting
  

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.

#LI-MN2

Client-provided location(s): Boston, MA, Madison, WI, Minneapolis, MN

Job ID: American_Family_Insurance-R37678

Employment Type: FULL_TIME

Posted: 2025-10-23T23:36:56