Manager, Predictive Modeling (Actuarial or Data Science Track)

About the Position

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.

Responsibilities

• Lead actuarial modeling projects and initiatives while ensuring timely, high-quality delivery of analytical solutions.
• Mentor, coach, or provide technical leadership to actuarial analysts, predictive modelers, or quantitative professionals.
• Develop predictive models that support insurance pricing, segmentation, underwriting, risk assessment, retention, or profitability initiatives.
• Support regulatory filings, model governance, validation, monitoring, and documentation practices.
• Translate complex analytical findings into actionable business recommendations and strategic insights.
• Collaborate effectively across actuarial, product, underwriting, business, and analytics teams.

Requirements

• 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.
• 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.
• Excellent written and verbal communication skills with the ability to communicate complex concepts to both technical and non-technical audiences.

Nice to Have

• Progress toward actuarial credentials (CAS/SOA).
• Experience with GLMs, Gradient Boosting, Random Forests, Neural Networks, and clustering techniques.
• Experience with regulatory approval processes.

We Offer

• Competitive salary range: $170,000 - $190,000.
• Comprehensive benefits package including Paid Time Off (PTO), 401(k) & Profit Sharing, Medical, Dental and Vision Coverage, and other benefits such as STD, LTD, Life Insurance, FSA, HSA, and various wellness programs.
• Opportunity for career growth through tuition reimbursement, leadership programs, and internal mobility opportunities.

About the Company

As a global insurance leader with a strong local presence, Mapfre offers a purpose-driven career where your growth, well-being, and impact truly matter. Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered. Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.

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.

Nearest Major Market: Worcester

Job Segment: Accounting, Actuarial, Data Management, Data Modeler, Statistics, Finance, Insurance, Data

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