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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.
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.
Skills
Team leadership
Data science expertise
Actuarial modeling
Python
SQL
Education
Bachelor’s degree in a quantitative field
Job description
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.