Manager, Actuarial Modeling Services

Mapfre; Webster (MA); On-site; USD 100,000 - 170,000; Full time

Benefits offered by this job

PTO

401(k) & Profit Sharing

Medical & Vision Coverage

Disability & Life Insurance

Wellness programs

Job summary

Mapfre Insurance seeks an experienced actuarial leader to drive pricing strategy, predictive analytics, and performance across a diverse P&C portfolio. You will lead actuaries and data scientists, guiding strategic initiatives for profitable growth.

In this high-visibility role, you will advance pricing analytics, model governance, and collaboration with pricing, product and analytics teams to deliver actionable insights that improve pricing precision, customer segmentation and profitability.

Qualifications

• Bachelor's degree or equivalent professional knowledge in Actuarial Science, Data Science, Statistics, Mathematics, or related quantitative discipline.
• 7-9 years of experience, or an Associate's degree equivalent plus 9-11 years of relevant experience.
• Strong expertise in Property & Casualty pricing.
• Experience leading actuarial or data science professionals and managing complex projects.
• Advanced quantitative and analytical skills.
• Experience with predictive modeling and analytics platforms including Python, R, Snowflake, SAS, Earnix, Akur8, Emblem, or similar environments. Strong business acumen with data-driven decision influence.
• Excellent written and verbal communication skills and collaboration across teams.

Responsibilities

• Lead a team of Actuaries and Data Scientists and ensure timely delivery of projects.
• Apply ML techniques including GLMs, gradient boosting, random forests, neural networks and clustering.
• Develop and gain regulatory approval of predictive models and class plans.
• Translate complex analyses into actionable business recommendations.
• Collaborate with Actuarial Pricing, Product Management and business leaders to create innovative analytics capabilities.

Skills

Actuarial leadership

Leadership of data scientists

Pricing analytics

Machine learning techniques

Regulatory knowledge

SQL and Python

Business communication

Education

Bachelor's degree in Actuarial Science / Data Science / Mathematics

Tools

Python

R

Snowflake

SAS

Earnix

Akur8

Emblem

Job description

Summary

Are you an experienced actuarial leader ready to influence pricing strategy, predictive analytics, and business performance across a diverse Property & Casualty insurance portfolio? At Mapfre Insurance, you'll lead a team of Actuaries, and Data Scientists while driving critical initiatives that support profitable growth and strategic decision-making.

Summary

Are you an experienced actuarial leader ready to influence pricing strategy, predictive analytics, and business performance across a diverse Property & Casualty insurance portfolio? At Mapfre Insurance, you'll lead a team of Actuaries, and Data Scientists while driving critical initiatives that support profitable growth and strategic decision-making.

In this highly visible role, you'll lead pricing analytics ensuring that analytical processes evolve with changing business needs, emerging technologies, and regulatory requirements. The individual provides thought leadership regarding machine learning, artificial intelligence, predictive analytics, and data governance while ensuring solutions are business-focused, interpretable, and operationally sustainable. Working closely with Actuarial Pricing, Product Management and business leaders to develop innovative analytical capabilities that improve pricing precision, customer segmentation, risk assessment, retention, and profitability.

What You'll Bring

• Experience leading, coaching, and developing Actuaries and/or Data Scientists while ensuring timely, high-quality project delivery.
• Experience with machine learning techniques including GLMs, gradient boosting, random forests, neural networks, and clustering methodologies.
• Experience developing and gaining regulatory approval of predictive models and class plans.
• Strong understanding of insurance pricing principles and regulatory requirements. Knowledge of model governance, validation, monitoring, and documentation practices.
• Advanced knowledge of SQL, Python, and modern data science toolsets used for predictive modeling, machine learning, and statistical analysis. Expertise supporting and enhancing Personal and Commercial Lines, including identifying and evaluating predictive variables used in pricing models.
• Ability to translate complex analyses into actionable business recommendations.
• Strong analytical, problem-solving, communication, and relationship-building skills, with the flexibility to support ad hoc projects and business initiatives.

What You'll Need

• Bachelor's degree or equivalent professional knowledge and experience in a specialized field such as Actuarial Science, Data Science, Statistics, Mathematics, or related quantitative discipline.
• 7-9 years of experience, or an Associate's degree equivalent plus 9-11 years of relevant experience.
• Strong expertise in Property & Casualty pricing.
• Experience leading actuarial or data science professionals and managing complex projects.
• Advanced quantitative and analytical skills.
• Experience with predictive modeling and analytics platforms including Python, R, Snowflake, SAS, Earnix, Akur8, Emblem, or similar analytical environments. Strong business acumen with the ability to influence decisions through data-driven insights.
• Excellent written and verbal communication skills and the ability to collaborate effectively across actuarial, product, 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

$100,000 - $170,000

Benefits Highlights

• 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 [e-mail]. 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