FBS - Actuarial Predictive Analyst II

Farmers Group Inc.; Mexico; On-site; MXN 700,000 - 1,000,000; Full time

Benefits offered by this job

Competitive compensation and bonuses

Comprehensive benefits package

Ongoing training and development

Job summary

Farmers Group Inc. in Mexico seeks an Actuarial Predictive Analytics Analyst II to drive forward-looking financial insights using data, SQL, Python or R, and modern analytics tools.

You will work with data pipelines, model development, and stakeholder communications to influence decisions across pricing, underwriting, and claims domains. This early-career role offers exposure to executive leadership, a fast-evolving analytics function, and opportunities for growth through hands-on project work

Qualifications

• 3+ years of experience in data analytics, predictive analytics, or related field.
• Bachelor’s degree in quantitative field; Master’s degree is a plus.
• Insurance industry background preferred but not mandatory.
• Actuarial knowledge or qualification is a plus.
• Advanced SQL and ETL/data pipeline development experience.
• Proficient in Python and/or R.
• Familiarity with Snowflake data warehousing.
• Strong analytical thinking and attention to detail.
• Ability to work independently in a dynamic environment.
• Excellent communication and stakeholder engagement skills.

Responsibilities

• Contribute to development and implementation of predictive analytics for key business decisions.
• Apply statistical techniques to build models and generate insights.
• Develop and maintain data pipelines, ETL processes, and data transformations.
• Perform data extraction, preparation, and integration across sources.
• Use SQL and Python/R to analyze large datasets and create solutions.
• Evaluate model performance and drive improvements.
• Design reports and visualizations to communicate insights and track metrics.
• Conduct ad-hoc analyses for emerging business questions.
• Collaborate with stakeholders and clearly tell the data story.
• Build understanding of enterprise data landscape across finance and claims.

Skills

SQL (advanced)

ETL pipelines (advanced)

Python/R (intermediate)

Statistical modeling

Data analytics

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

Snowflake

Job description

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FBS (Mexico) - 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 usand 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.

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‑interestand 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.