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

MAPFRE•Webster, MA

30d•$170,000 - $190,000•Hybrid

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.

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.
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.

Nice To Haves

Experience with regulatory approval processes is preferred.
Progress toward actuarial credentials (CAS/SOA) is valued but not required.

Responsibilities

Leading actuarial modeling projects and initiatives while ensuring timely, high-quality delivery of analytical solutions.
Mentoring, coaching, or providing technical leadership to actuarial analysts, predictive modelers, or quantitative professionals.
Developing predictive models that support insurance pricing, segmentation, underwriting, risk assessment, retention, or profitability initiatives.
Supporting regulatory filings, model governance, validation, monitoring, and documentation practices.
Identifying, evaluating, and implementing predictive variables and modeling techniques within Property & Casualty insurance environments.
Translating complex analytical findings into actionable business recommendations and strategic insights.
Influencing decision-making and collaborating effectively across actuarial, product, underwriting, business, and analytics teams.