FBS - Actuarial Predictive Analytics Manager I

Farmers Insurance, one of the United States' largest insurers, serves over 10 million U.S. households with more than 19 million individual policies. As part of a global insurance group, they are now seeking a Predictive Analytics Manager to join a new team focused on transforming enterprise decision-making through advanced analytics and AI.

In this role, you will build predictive analytics capabilities from the ground up, designing and implementing data-driven solutions that drive growth, improve efficiency, and strengthen business intelligence. This is an opportunity for a data-driven professional to work autonomously in a fast-paced environment, influencing how analytics is built and scaled.

Key Responsibilities:

• Develop and implement predictive models using advanced statistical and machine learning techniques
• Build and maintain programs for predictor and response variables, ensuring model accuracy and scalability
• Partner with business stakeholders to understand needs and communicate actionable insights
• Present analytical findings to non-technical audiences, explaining methodologies and business impact
• Explore, prepare, and structure large datasets to support model development
• Contribute to the design and improvement of modeling frameworks and best practices
• Ensure data quality and model integrity through validation and review processes
• Develop a strong understanding of the data landscape and support enterprise data initiatives
• Collaborate with and mentor junior analysts, sharing knowledge and promoting best practices
• Stay current on industry trends in insurance analytics and predictive modeling

Requirements:

• 6+ years of experience in predictive analytics or a related field
• Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field
• Professional experience in insurance or pricing analytics is a strong plus
• Strong experience with Python, R, and SQL; experience with SAS is a plus
• Advanced knowledge of predictive modeling, machine learning techniques, and statistical analysis
• Strong understanding of data ecosystems and ability to navigate complex data environments
• Ability to translate complex data into clear insights and communicate effectively
• Problem-solving mindset with the ability to work independently
• Experience contributing to or building analytics capabilities from scratch is highly valued
• Collaborative and proactive approach with a willingness to share knowledge

Benefits:

• Competitive compensation and benefits package
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements
• Dynamic and inclusive work culture
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development