Actuarial Predictive Analyst 2

FBS - Actuarial Predictive Analyst II

Capgemini · Mexico (Remote) · — · Posted 2026-11-11

Workplace: remote

Department: Business Intelligence & Data

Description

Farmers Insurance is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, Farmers Insurance is part of one the largest Insurance Groups in the world.

About the Role

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.

What You’ll Do

• 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

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

Competitive compensation and benefits package:

1. Comprehensive benefits package
2. Career development and training opportunities
3. Flexible work arrangements
4. Dynamic and inclusive work culture within a globally renowned group
5. Private Health Insurance
6. Pension Plan
7. Paid Time Off
8. Training & Development

Note: Benefits differ based on employee level.

This position comes with competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

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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