Manager, Predictive Modeling (Actuarial or Data Science Track) Hybrid/Remote

 

Mapfre Insurance is seeking a Predictive Modeling Manager to lead a team of actuaries and data scientists focused on advancing pricing strategy, predictive analytics, and business performance across our Property & Casualty portfolio. We welcome candidates from either an actuarial or data science background who bring expertise in predictive modeling, machine learning, statistical analysis, and translating complex analytics into business results.

In this highly visible leadership role, you'll partner closely with Pricing, Product, and business leaders to develop innovative modeling solutions that improve pricing precision, customer segmentation, risk assessment, retention, and profitability. You'll also provide thought leadership in predictive analytics, artificial intelligence, and model governance, ensuring analytical solutions are innovative, actionable, and aligned with evolving business needs and regulatory requirements.

 

What You'll Bring

• Experience leading actuarial modeling projects and initiatives while ensuring timely, high-quality delivery of analytical solutions.
• Experience mentoring, coaching, or providing technical leadership to actuarial analysts, predictive modelers, or quantitative professionals.
• Expertise in predictive modeling and machine learning methodologies, including GLMs, Gradient Boosting, Random Forests, Neural Networks, and clustering techniques.
• Experience developing predictive models that support insurance pricing, segmentation, underwriting, risk assessment, retention, or profitability initiatives.
• Experience supporting regulatory filings, model governance, validation, monitoring, and documentation practices. Experience with regulatory approval processes is preferred.
• Advanced proficiency with SQL, Python, and modern analytical tools used for predictive modeling, machine learning, and statistical analysis.
• Experience identifying, evaluating, and implementing predictive variables and modeling techniques within Property & Casualty insurance environments.
• Ability to translate complex analytical findings into actionable business recommendations and strategic insights.
• Strong analytical, problem-solving, communication, and relationship-building skills.
• Proven ability to influence decision-making and collaborate effectively across actuarial, product, underwriting, business, and analytics teams.

 

What You'll Need

• Bachelor's degree in Actuarial Science, Data Science, Statistics, Mathematics, Economics, Computer Science, or another quantitative discipline, or equivalent professional experience.
• 7-9 years of relevant experience, or an Associate's degree plus 9-11 years of relevant experience.
• Strong expertise in Property & Casualty pricing, predictive analytics, insurance modeling, or related quantitative disciplines.
• Experience leading complex predictive modeling, actuarial, or analytics projects within a Property & Casualty environment.
• Advanced quantitative, statistical, and analytical skills.
• Experience with predictive modeling and analytics platforms such as Python, R, Snowflake, SAS, Earnix, Akur8, Emblem, or similar analytical environments.
• Progress toward actuarial credentials (CAS/SOA) is valued but not required.
• Strong business acumen with the ability to influence decisions through data-driven insights.
• Excellent written and verbal communication skills with the ability to communicate complex concepts to both technical and non-technical audiences.
• Ability to collaborate effectively across actuarial, product, underwriting, business, and analytics teams.

 

Why Mapfre?

 

As a global insurance leader with a strong local presence, we offer more than a job- we provide a purpose-driven career where your growth, well-being, and impact truly matter.

Purpose & Culture: Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.

Career Growth: Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.

Social Responsibility: Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.

 

Pay Transparency: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.

 

Salary Range: $170,000 - $190,000
 

Benefits Highlights:

At Mapfre, we invest in our employees' well-being by offering a comprehensive benefits package, including:

 

• Paid Time Off (PTO): A flexible PTO program that combines vacation, personal, volunteer and sick time into one convenient bank of paid time off.
• 401(k) & Profit Sharing: Eligible employees may participate in Mapfre's 401(k) plan that includes company matching contributions up to certain amounts under the terms of the plan.  
• Medical, Dental and Vision Coverage: Choice of comprehensive medical, dental and vision insurance coverage under group plans offered by the company.
• Other Benefits Include: STD, LTD, Life Insurance, FSA, HSA and various wellness programs

 

Benefits provided are subject to the terms and conditions of the applicable benefit plan or policy.  The Company reserves the right to alter, amend, or terminate benefits in its sole discretion. To learn more about our benefit offerings please visit: https://mapfre.gobenefits.net/

If you require a reasonable accommodation during the application or selection process, please contact the Mapfre Talent Acquisition team at talentacquisition@mapfre.com. Mapfre is proud to be an Equal Opportunity Employer.

 

Important Notice: The information above is intended to provide a general overview of available benefits. Eligibility, plan provisions, and coverage are governed by the terms and conditions of the applicable benefit plans and policies, which may be modified from time to time