Assistant Modeling Manager

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

The Assistant Modeling Manager will play a key role in supporting the development and enhancement of auto insurance rating plans. This position resides within the Auto Rating Plan Modeling team, which is responsible for driving innovation and precision in pricing strategies. The team’s core mission is to:
• Continuously identify and implement rating plan enhancements through both rapid prototyping and detailed modeling initiatives.
• Deliver and execute rating plan development models that optimize auto rating performance and accuracy.
• Leverage advanced ratemaking models to uncover actionable business insights
The Assistant Modeling Manager will collaborate closely with senior modelers, data scientists, and business partners to ensure timely delivery of high-quality models, maintain compliance with regulatory standards, and contribute to the strategic evolution of pricing methodologies. This role requires strong analytical skills, proficiency in statistical modeling, and the ability to translate complex data into practical business solutions. This role may or may not have managing responsibilities based on the candidate’s preference.
Sample projects for this role include developing countrywide rating plan models, fast paced discovery project to understand value of new data sources, and development of models to provide loss insights for specific business problems.

KEY RESPONSIBILITIES

• Assist in the design, development, and implementation of auto insurance rating plan models, ensuring alignment with business objectives and regulatory requirements.

• Apply advanced machine learning methodologies to develop innovative ratemaking models that provide deeper insights into risk segmentation and business performance.

• Monitor, validate, and document model performance, ensuring accuracy, stability, and compliance with internal governance and external regulations.

• Partner with senior modelers, actuaries, and data scientists to deliver high-quality modeling solutions and communicate technical findings to non-technical stakeholders.

• Provides thought and/or technical leadership, including contributions to improvement, development and innovation, and often serves as a subject matter expert

• Plans, implements, manages, and/or contributes on projects that are moderate to high complexity and are of moderate scale using accepted project management standards, with no guidance

• Manage multiple modeling tasks in a fast-paced environment, balancing quick-turnaround enhancements with detailed, long-term modeling initiatives.

• Leverages understanding of insurance business, products, markets and regulatory environment to influence pricing/reserving/modeling strategies and business decisions

• Opportunity to mentor and/or supervise less experienced talent

Education

• 4 year Bachelors Degree

Experience

• 5 or more years of experience (Preferred)

Supervisory Responsibilities

• This job has supervisory duties.

Education & Experience (in lieu)

• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

Skills

Business Analysis, Data Analytics, Financial Analysis, Machine Learning (ML), Performance Management (PM), Predictive Analytics, Technical Leadership

Compensation

Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.

For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.