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

Date:
Oct 15, 2026

Location:

Webster, MA, US

Company: MAPFRE

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.

• 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.

• 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.

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…