Actuarial Modeling Manager

Acumen Group; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

A leading Insurtech company in Texas is seeking a hands-on modeling leader to build and scale homeowners insurance models. You will lead a high-impact team and define modeling strategies that enhance pricing decisions. The ideal candidate has over 7 years of experience in data science and actuarial modeling and a strong background in managing teams. Proficiency in Python and SQL is required. This role offers an excellent opportunity to make a significant impact in the insurance sector.

Qualifications

• 7+ years of experience in data science, analytics, or actuarial modeling within personal lines P&C insurance.
• 3+ years of proven people management experience.
• Strong background in loss cost modeling and analytical workflow building.
• Strong background in loss cost modeling.
• Experience with scalable analytical workflows in Python/SQL.

Responsibilities

• Lead a high-impact team focused on homeowners insurance modeling across multiple aspects.
• Define and execute modeling strategy emphasizing loss cost and demand forecasting.
• Own expected loss models supporting data-driven pricing decisions.
• Drive model lifecycle management: validation, refresh cadence, documentation, governance.
• Partner with engineering and product to deploy models into production and data pipelines.
• Establish model monitoring and performance tracking to improve forecast accuracy.
• Mentor and develop team members, fostering technical excellence and business partnership.

Skills

Team leadership

Data science expertise

Actuarial modeling

Python

SQL

Education

Bachelor’s degree in a quantitative field

Tools

Python

SQL

Job description

Acumen is partnering with a P&C Insurtech looking for a hands-on modeling leader to build and scale homeowners insurance models that drive smarter pricing, underwriting, and growth decisions. This role blends deep actuarial and data science expertise with people leadership and strong cross-functional partnership.

Responsibilities

• Lead and grow a high-impact team focused on homeowners insurance modeling across pricing, underwriting, claims, and growth
• Define and execute modeling strategy with emphasis on loss cost, demand forecasting, and weather-driven risk
• Own expected loss models, including frequency, severity, and catastrophe components, supporting data-driven pricing decisions
• Drive model lifecycle management, including validation, refresh cadence, documentation, and governance
• Partner with engineering and product teams to deploy models into production and support reliable data pipelines
• Establish model monitoring and performance tracking to continuously improve forecast accuracy and business outcomes
• Mentor and develop team members, fostering technical excellence, accountability, and strong business partnership

Qualifications

• Bachelor’s degree in a quantitative field such as statistics, mathematics, data science, or similar.
• 7+ years of experience in data science, analytics, or actuarial modeling within personal lines P&C insurance; 3+ years of people management
• Strong background in loss cost modeling; experience with demand, underwriting, or claims modeling is a plus
• Solid understanding of actuarial principles related to insurance pricing
• Python and SQL; experience building scalable analytical workflows