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FBS - Actuarial Predictive Analyst II

36367

Farmers– where ambition meets opportunity.

Farmers is known for more than its unforgettable jingle – it’s a team with a passion for purpose and making a real difference in people’s lives. Farmers employees deliver peace of mind when it matters most. The organization’s results-driven, high-performance culture thrives on creativity, accountability and bold solutions. Here, growth isn’t just a goal – it’s a way of life for both the organization and every individual on the team. Farmers employees tackle challenges head-on, learn from every experience and measure their impact on the customers who trust them.

Join us and help power the success of Farmers. As a team member, you’ll collaborate with Farmers’ award-winning workforce, benefit from a culture of innovation and support and contribute to their mission of delivering protection and peace of mind to millions of U.S. customers.

Ready to make your mark? Discover Farmers’ vibrant culture and explore career opportunities at www.Farmers.com/careers/corporate.

Job Summary

We are seeking a Predictive Analytics Analyst (Early Career) to join a newly formed team focused on enabling faster, more accurate, and forward-looking financial decision-making across Finance. This team brings together trusted data, advanced analytics, automation, and AI-driven insights to shape business outcomes and elevate decision quality at the highest levels of the organization.

This role offers a unique opportunity to be part of a function being built from the ground up. You will operate in an environment with high visibility and direct exposure to senior leadership, including the CFO and executive stakeholders. Success in this role requires a proactive, self-starting mindset, the ability to navigate ambiguity, and a strong willingness to build, influence, and shape processes from scratch.

Essential Job Functions

  • Contribute to the development and implementation of predictive analytics to support key business decisions
  • Apply statistical and analytical techniques to build models and generate actionable insights
  • Develop and maintain data pipelines, ETL processes, and data transformations to support analytics workflows
  • Perform data extraction, preparation, and integration across multiple sources, ensuring data quality and reliability
  • Use SQL and programming tools (Python, R) to analyze large datasets and create analytical solutions
  • Evaluate model performance and contribute to ongoing enhancements and optimization
  • Design reports and visualizations to communicate insights and track performance metrics
  • Conduct ad-hoc analyses to support emerging business questions and priorities
  • Partner with business stakeholders and communicate findings effectively to both technical and non-technical audiences
  • Build strong understanding of the enterprise data landscape, including finance and insurance data domains (pricing, underwriting, claims)
  • Contribute to continuous improvement of analytics processes, tools, and methodologies
  • Operate with a high degree of autonomy, proactively building relationships and driving initiatives forward in a fast-evolving environment

Experience Requirements

  • 3+ years of experience in data analytics, predictive analytics, or a related field
  • Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering or similar); Master’s degree is a plus
  • Background in insurance industry is strongly preferred (pricing, underwriting, claims), but not mandatory
  • Actuarial knowledge or qualification is a plus
  • Strong hands-on experience with:
    • SQL (advanced)
    • ETL and data pipeline development (advanced)
  • Working knowledge of:
    • Python and/or R (intermediate)
  • Familiarity with data warehousing solutions such as Snowflake is a plus
  • Understanding of predictive modeling concepts and statistical analysis
  • Strong analytical thinking and attention to detail
  • Ability to work independently with minimal guidance in an unstructured, evolving environment
  • Curiosity and ownership to understand data sources, systems, and business context end-to-end
  • Excellent communication skills, with the ability to clearly present insights and “tell the story behind the data”
  • Relationship-building mindset, proactively engaging stakeholders across functions
  • Adaptability and comfort working in a fast-paced, startup-like environment within a larger organization
  • Experience working with finance or enterprise datasets is a plus
  • Exposure to executive-level presentations or stakeholder engagement is highly valued

Benefits

This position offers a competitive compensation and benefits package designed to support your wellbeing, growth, and work–life balance. While specific benefits may vary by country and employee level, offerings generally include competitive salary opportunities, performance-based bonuses, comprehensive benefits, and ongoing training and development resources.

Important Hiring Conditions and Disclosures 

By applying for this position, candidates acknowledge and agree that:

• Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies.

• Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire. FBS does not sponsor or obtain work authorization unless explicitly stated.

• Exclusivity of Employment and Conflict of Interest: Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in parallel employment, professional activities, or paid work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and external engagement policies prior to the start date or as soon as such circumstances arise. 

Failure to comply with these conditions may impact the hiring decision or employment continuation.

About Farmers Insurance
"Farmers Insurance®" and "Farmers®" are tradenames for a group of insurers providing insurance for automobiles, homes and small businesses and a wide range of other insurance and financial services products. Farmers Insurance Exchange, the largest of the three primary insurers that make up Farmers Insurance, is recognized as one of the largest U.S. companies on the 2025 Fortune 500 list. For more information about Farmers Insurance, visit Farmers.com.

 

By applying for this position, candidates acknowledge and agree that:

• Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies.

• Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire. FBS does not sponsor or obtain work authorization unless explicitly stated.

• Exclusivity of Employment and Conflict of Interest: Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in parallel employment, professional activities, or paid work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and external engagement policies prior to the start date or as soon as such circumstances arise.

Failure to comply with these conditions may impact the hiring decision or employment continuation.

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