Title: Manager, Actuarial Insurance Modeling
Location: San Francisco Bay Area, CA / Austin, TX / Dallas, TX / Bedminster, NJ (Flexible / Hybrid)
Reporting to: Director, Actuarial
Open to Relocation? Weve Got You Covered:
This role is open to candidates willing to relocate to one of our hub locations. Hippo offers relocation assistance to support your move, so you can focus on doing impactful worknot the logistics of getting here.
About Hippo:
Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. Well also help you find coverage for everything life bringsfrom auto to floodreimagining how you care for your home.
About This Role:
We are seeking a Manager to build and lead a team responsible for insurance modeling supporting Hippos owned Homeowners program. This role will be responsible for developing modeling capabilities that support pricing, underwriting, claims, 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.
Youll 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. Youll also partner with our Analytics team to build a monitoring framework to track model performance.
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.
About You:
You are a hands-on data science leader with a strong actuarial foundation. 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.
What Youll Do:
Team Leadership & Modeling Strategy
- Build, lead and develop a team focused on homeowners insurance modeling
- Establish clear modeling priorities, technical standards, and best practices
- Build and maintain a thoughtful model lifecycle and maintenance strategy, including:
- Defining refresh cadence and depth for core models
- Balancing maintenance cost with improved performance when evaluating model additions or new models
- Ensuring model changes are well-documented, validated, and communicated
- Create a culture of ownership, rigor, experimentation, and continuous improvement
Insurance Modeling & Analytics
- Own expected loss models for homeowners insurance, including frequency, severity, and catastrophe-driven components
- Lead conversion and retention modeling to support pricing, growth, and retention decisions
- Establish feedback loops (e.g., forecast vs. actuals) to improve model performance over time
Technical Excellence
- Own the implementation of offline analytical models within our modeling pipeline, using Airflow-based workflows running internally developed python code, to support testing, validation, and continuous monitoring of model performance over time
- Develop and package recurring analytical workflows, and guide others in their effective use to improve efficiency, consistency, and scalability across the actuarial team
- Promote strong development practices, including Git-based version control, peer review, and reproducibility
- Partner with product and engineering teams to ensure models are successfully implemented in production and appropriate data is being captured for backend analysis
Cross-Functional Partnership & Communication
- Champion the business and analytical value of your models throughout the organization
- Translate complex modeling results into clear, actionable insights for business stakeholders
- Partner closely with Pricing, Underwriting, Claims, Product, and Engineering to align modeling work with business needs
- Clearly communicate assumptions, limitations, trade-offs, and uncertainty to support sound decision-making
- Serve as a thought partner across the insurance organization, connecting modeling work across domains
Must Haves:
- Bachelors 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
- Ability to define modeling strategy and guide teams through both incremental updates and major redesigns
- Excellent communication skills and ability to build trust with stakeholders at all levels
Nice to Haves:
- Actuarial credentials - ACAS/FCAS
- Masters degree in a quantitative discipline
- Experience modeling catastrophe or weather-driven losses
- Experience in insurtech or highly target="_blank">Hippo CCPA
