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Salary: USD 115,000 - 155,000 / annual
Hippo is a tech-native insurance platform that partners with managing general agents (MGAs) to deliver tailored P&C program solutions. The company uses technology and data to help customers protect what matters most and operates as a diversified carrier platform.
You will support Hippo's reserving work across a portfolio of third-party P&C programs with a strong focus on casualty. This role involves core pieces of the quarterly and monthly reserving cycle, from data validation and transformation to rolling forward assumptions and delivering review-ready work for peer review.
Key responsibilities include:
- Perform quarterly reserve reviews across program tiers, including deep dives on casualty special programs; independently evaluate reserve adequacy, roll forward actuarial assumptions (LDFs, ELRs, benchmarks, method weights), and prepare well-documented recommendations for actuarial management review
- Investigate reserve movements, claims trends, and data anomalies; clearly communicate findings to actuarial leadership
- Work with detailed claims, premium, exposure, financial, and reinsurance datasets to support reserving analyses; partner with data and engineering teams to improve data quality and accessibility
- Support data reconciliation and forensic analysis to identify claims data quality issues; help standardize definitions across partner programs by mapping and aggregating program data into consistent structures
- Support development of large loss thresholds for each partner program and a broader large loss strategy
- Support monthly close activities: lag and paid estimates, loss flux, ultimate and IBNR allocation, and AY/TY loss ratio review
- Support review of new and existing insurance programs, including setting up templates for newly onboarded programs
- Contribute analysis and exhibits for reserve committee and senior management materials; communicate loss ratio performance and emerging issues to Pricing, Underwriting, Reinsurance, Claims, and Finance
- Maintain Schedule P, ULAE/AO, and reinsurance treaty workbooks; support annual, quarterly, and monthly financial reporting processes across GAAP and STAT entities
- Support SOX control documentation, audit walkthroughs, and requests from the signing actuary
- Support reserve risk (Mack/ODP CoV) calculations and handoff to capital modeling
- Identify and implement governance and automation improvements that keep reserving reviews and workflows consistent, repeatable, and well controlled
- Opportunity to innovate reserving models: model building, refitting, or calibration
The ideal candidate is a technically strong, detail-oriented casualty reserving actuary with strong technical and data skills who can independently obtain, validate, transform, and analyze data. You will explain actuarial conclusions in plain terms to actuaries, finance, claims, underwriters, and program partners. You use SQL, Python, GitHub, and AI tools to work faster and collaborate effectively with peers.
REQUIREMENTS:
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related field
- ACAS credential with robust casualty reserving experience; progress toward FCAS preferred
- 4+ years of actuarial experience with broad reserving exposure across multiple lines and sound judgment on limited or unstructured data
- Proficiency in SQL and Python to independently source, validate, reconcile, and analyze large datasets; strong Excel skills
- Experience with cloud data warehouses and curated analytical datasets (BigQuery and GitHub preferred); familiarity with layered architectures (e.g., bronze/silver/gold) is a plus
- Ability to trace results from underlying claim and financial transactions through reserve exhibits and final reporting
- Good understanding of accounting standards (e.g., US GAAP, US STAT)
- Ability to explain actuarial concepts clearly to actuarial and non-actuarial audiences, including senior leadership
- Project management skills and ability to deliver under tight timelines; collaborative, with a commitment to continuous learning
NICE TO HAVES:
- Prior program, fronting, or reinsurance experience
- Experience with SQL-based data transformation tools (e.g., dbt)
- Experience with SOX controls or audit support for reserving processes
- Experience using AI tools to speed up actuarial and data work
