Manager, Actuarial Data Science
About The Position
We are seeking a Manager to lead an insurance modeling team responsible for supporting Hippo’s owned Homeowners program. This role will be responsible for developing modeling capabilities that support pricing, underwriting, and growth, with a strong focus on loss modeling, demand modeling, and weather risk. This role will also develop advanced Python and SQL based tooling that packages core pricing and expected loss ratio analytics into scalable, reusable workflows, significantly improving the efficiency and consistency of segmentation analyses. You’ll be responsible not only for building high-quality models, but also for seeing their use through to completion in both offline and production systems as appropriate. This role works closely with Pricing, Underwriting, Claims, Product, and Data Engineering, and is ideal for someone who is equally comfortable diving into technical details as they are communicating clearly with non-technical stakeholders. You are a hands-on data science leader with a strong background in loss modeling. You bring structure to ambiguity, enjoy building scalable work, and take pride in developing people on your team. You think critically about model maintenance cost and you balance scientific rigor with practical business impact. You communicate clearly, document thoroughly, and operate with a strong sense of ownership.
Requirements
- Bachelor’s degree in statistics, mathematics, data science, or another quantitative field
- 7+ years of experience in data science, analytics, or actuarial modeling within personal lines P&C insurance
- 3+ years of people management experience, including coaching and performance development
- Strong experience with loss cost modeling; exposure to demand, underwriting, and/or claims modeling
- Knowledge of actuarial principles as they relate to insurance pricing
- Advanced proficiency in Python and SQL
- Experience using Git in collaborative environments
- Excellent communication skills and ability to build trust with stakeholders at all levels
Nice To Haves
- Actuarial credentials - ACAS/FCAS
- Master’s degree in a quantitative discipline
- Experience modeling catastrophe or weather-driven losses
Responsibilities
- Build and lead a homeowners insurance modeling team, setting clear priorities, technical standards, and best practices while fostering a culture of ownership, rigor, and continuous improvement
- Own the design and annual build of our by-peril loss models
- Expand modeling capabilities across conversion, retention, and aggregation to inform pricing strategy, business mix, and portfolio performance
- Implement and scale models within our Airflow-based Python modeling pipeline, ensuring robust testing, validation, reproducibility, and long-term maintainability
- Develop reusable analytical tooling and workflows that improve efficiency, consistency, and scalability across the actuarial team
- Partner cross-functionally with Insurance Product, Underwriting, and Engineering to translate complex modeling insights into clear business recommendations and ensure successful production deployment
Benefits
- Relocation Assistance
- Multiple medical plans to choose from
- 100% employer covered dental & vision plans for our team members and their families
- 401(k)-retirement plan
- Short & long-term disability
- Employer-paid life insurance
- Flexible Spending Accounts (FSA) for health and dependent care
- Employee Assistance Program (EAP)
- Equity compensation
- Training and internal career growth opportunities
- Flexible Time Off
- 12 weeks of parental leave for primary and secondary caregivers
- Snacks and drinks available
- Catered lunches for onsite employees
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What This Job Offers
Job Type
Full-time
Career Level
Manager
