Manager, Actuarial Insurance Modeling

Hippo Insurance•San Francisco, CA

2d•Hybrid

About The Position

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. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home. We are seeking a Manager to build and lead a team responsible for insurance modeling supporting Hippo’s 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. 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. You’ll 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. 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.

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
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
Master’s degree in a quantitative discipline
Experience modeling catastrophe or weather-driven losses
Experience in insurtech or highly data-driven insurance organizations
Experience working in modern data platforms, including familiarity with cloud infrastructure (e.g., AWS) and workflow orchestration tools (e.g., Airflow)

Responsibilities

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
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
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
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

Benefits

Relocation Assistance - Support available for qualified candidates relocating to one of our hub locations
Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP)
Equity - This position is eligible for equity compensation
Training and Career Growth - Training and internal career growth opportunities
Flexible Time Off - You know when and how you should recharge
Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers
Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees

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