Manager, Actuarial Modeling Services

About the role

Lead a team of Actuaries and Data Scientists while driving critical initiatives that support profitable growth and strategic decision-making across a diverse Property & Casualty insurance portfolio. In this highly visible role, you will ensure analytical processes evolve with changing business needs, emerging technologies, and regulatory requirements. Provide thought leadership in machine learning, artificial intelligence, predictive analytics, and data governance, ensuring solutions are business-focused, interpretable, and operationally sustainable.

Work 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.

Responsibilities

• Lead pricing analytics, ensuring timely, high-quality project delivery.
• Apply machine learning techniques including GLMs, gradient boosting, random forests, neural networks, and clustering methodologies.
• Develop and gain regulatory approval of predictive models and class plans.
• Maintain strong understanding of insurance pricing principles and regulatory requirements.
• Oversee model governance, validation, monitoring, and documentation practices.
• Utilize advanced SQL, Python, and modern data science toolsets for predictive modeling, machine learning, and statistical analysis.
• Support and enhance Personal and Commercial Lines pricing, identifying and evaluating predictive variables.
• Translate complex analyses into actionable business recommendations.
• Collaborate across actuarial, product, business, and analytics teams to influence data-driven decisions.

Requirements

• Bachelor's degree or equivalent professional knowledge and experience in Actuarial Science, Data Science, Statistics, Mathematics, or a 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.
• Strong business acumen with the ability to influence decisions through data-driven insights.
• Excellent written and verbal communication skills.

Benefits

• Paid Time Off (PTO): Flexible PTO program combining vacation, personal, volunteer, and sick time into one bank.
• 401(k) & Profit Sharing: Company matching contributions under the terms of the plan.
• Medical, Dental, and Vision Coverage: Comprehensive group plans offered by the company.
• Other Benefits: Short-Term Disability (STD), Long-Term Disability (LTD), Life Insurance, Flexible Spending Account (FSA), Health Savings Account (HSA), and various wellness programs.

Pay

The typical starting salary range for this role is $100,000 - $170,000, determined by skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings in addition to salary.