Predictive Analytics VP

FBL Financial Group, Inc. • West Des Moines, IA

3d

About The Position

With Farm Bureau Financial Services, our client/members can feel confident knowing their family, home, cars, and other property are protected. We value a culture where integrity, teamwork, passion, service, leadership, and accountability are at the heart of every decision we make and every action we take. We’re proud of our more than 80-year commitment to protecting the livelihoods and futures of our client/members and creating an atmosphere where our employees thrive.
What You’ll Do: As the Predictive Analytics VP you will lead the strategic development and execution of predictive modeling, advanced analytics, and competitive intelligence initiatives across the Property & Casualty insurance portfolio. Other duties may include:
Drive innovation in risk assessment, pricing, underwriting, claims, and customer behavior modeling, ensuring alignment with PC business objectives and goals and regulatory standards.
Establish and promote a long-range vision and mission for PC Modeling and Analytics.
Manage and prioritize projects, ensuring that deadlines are met and resources are appropriately allocated to achieve the vision and mission.
Oversee the development and execution of comprehensive predictive modeling strategy that supports underwriting, pricing, claims, and customer segmentation.
Present models and analytic findings, insights, and strategic recommendations to senior leadership and other key stakeholders in a clear, actionable format.
Collaborate with PC shared services and PC Business Units to develop and deliver consistent, standardized, and easy to understand reports and dashboards representing productivity and critical success factor performance.
Oversee the design, development, testing, validation, implementation, and maintenance of predictive models using statistical, machine learning, and AI techniques used in developing new products and services, customer segments, and competitive pricing strategies.
Oversee all staff development aspects including selection, training/development, performance review, salary administration, referring employee complaints, controlling workflow, motivation of employees, and assigned budget activities.
What It Takes to Join Our Team:
Bachelors degree in Actuarial Science, Mathematics, Statistics, Economics, or related field with 10 years of predictive modeling experience.
Actuarial designation required; in lieu of designation an advanced Statistics degree will be considered.
Strong understanding of insurance operations, regulatory environment, an actuarial principles, with a focus on statistical modeling and data analysis.
Proven experience in a leadership or management role, with the ability to manage, mentor, and motivate a team of analysts.
Expertise in statistical modeling technique such as generalized linear models, regression analysis, and other predictive modeling methods.
Proficiency in programming languages such as Python, R, or similar and experience with large datasets and analytics tools.
Advanced knowledge of SQL and experience working with databases.
If you're interested in joining a company that appreciates its employees, provides growth and professional development opportunities, and offers great benefits, we invite you to apply today!
Work Authorization/Sponsorship
Applicants must be currently authorized to work in the United States on a full-time basis. We are not able to sponsor now or in the future, or take over sponsorship of, an employment visa or work authorization for this role. For example, we are not able to sponsor OPT status.

Requirements

• Bachelors degree in Actuarial Science, Mathematics, Statistics, Economics, or related field with 10 years of predictive modeling experience.
• Actuarial designation required; in lieu of designation an advanced Statistics degree will be considered.
• Strong understanding of insurance operations, regulatory environment, an actuarial principles, with a focus on statistical modeling and data analysis.
• Proven experience in a leadership or management role, with the ability to manage, mentor, and motivate a team of analysts.
• Expertise in statistical modeling technique such as generalized linear models, regression analysis, and other predictive modeling methods.
• Proficiency in programming languages such as Python, R, or similar and experience with large datasets and analytics tools.
• Advanced knowledge of SQL and experience working with databases.

Responsibilities

• Drive innovation in risk assessment, pricing, underwriting, claims, and customer behavior modeling, ensuring alignment with PC business objectives and goals and regulatory standards.
• Establish and promote a long-range vision and mission for PC Modeling and Analytics.
• Manage and prioritize projects, ensuring that deadlines are met and resources are appropriately allocated to achieve the vision and mission.
• Oversee the development and execution of comprehensive predictive modeling strategy that supports underwriting, pricing, claims, and customer segmentation.
• Present models and analytic findings, insights, and strategic recommendations to senior leadership and other key stakeholders in a clear, actionable format.
• Collaborate with PC shared services and PC Business Units to develop and deliver consistent, standardized, and easy to understand reports and dashboards representing productivity and critical success factor performance.
• Oversee the design, development, testing, validation, implementation, and maintenance of predictive models using statistical, machine learning, and AI techniques used in developing new products and services, customer segments, and competitive pricing strategies.
• Oversee all staff development aspects including selection, training/development, performance review, salary administration, referring employee complaints, controlling workflow, motivation of employees, and assigned budget activities.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive