Actuary
Arbol is a global climate risk solutions platform founded in 2018 that provides data-driven parametric insurance and derivatives products. It combines expansive climate data infrastructure, AI/machine learning underwriting, and flexible risk capital to offer swift, objective, and scalable coverage against weather and climate risks. Arbol serves a diverse range of clients from small farmers to large corporations, banks, and reinsurers across agriculture, energy, travel, wildfire, and reinsurance sectors, in 15+ countries.
Maintainer signals as of 8/14/2026
About Arbol
Arbol was founded in 2018 to change how climate risk is actively managed throughout the financial system. The company provides parametric insurance and derivatives products that pay out automatically when predefined weather triggers (such as rainfall, temperature, wind speed, or fire perimeters) are met, rather than relying on traditional claims assessment. Its ecosystem combines an expansive data infrastructure sourced from NOAA, NASA, ECMWF, and the European Space Agency, an AI/ML underwriter, a technology platform for brokers and agents, and flexible dedicated risk capital. Arbol's solutions span agriculture, energy, travel, wildfire, and reinsurance, and it also operates Arbol Insurance, an underwriting and brokerage firm focused on hard-to-place weather risks. The company has transferred over $2 billion in notional risk and serves clients including small farmers, large corporations, and insurers like Centauri Insurance and Singlife, with roughly half of its clients otherwise lacking access to climate risk products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead pricing, reserving, reinsurance analytics, and portfolio analytics for homeowners insurance. You will develop rate indications, perform reserve analyses, monitor portfolio performance, evaluate catastrophe and reinsurance impacts, automate actuarial workflows with Python, and translate actuarial requirements into AI-enabled tools.
Requirements
- 5-8 years of property and casualty actuarial experience
- ACAS or FCAS credential
- Proficiency in Excel and Python
- Ability to build clean, repeatable analyses
- Strong analytical and problem-solving skills
- Ability to communicate findings clearly to non-technical stakeholders
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field
- Experience with dashboards, automated data pulls, or version-controlled workflows preferred
- Homeowners insurance experience preferred
- Experience with reserving methods or pricing indications preferred
- Knowledge of policy and claims data structures and insurance KPIs preferred
Responsibilities
- Develop rate indications and pricing analyses
- Monitor rate adequacy, loss trends, inflation impacts, and emerging experience
- Build and maintain pricing tools, exhibits, and documentation
- Perform quarterly reserve analyses
- Monitor loss emergence, claim severity and frequency trends, and catastrophe performance
- Build recurring portfolio performance dashboards
- Assess exposure concentrations, catastrophe load, and risk-adjusted returns
- Evaluate reinsurance program impacts
- Support scenario analyses
- Identify opportunities to automate actuarial processes
- Translate actuarial logic into requirements for automated tools
- Write and maintain Python-based workflows
- Collaborate with AI and engineering teams on tool development
- Collaborate with Underwriting, Claims, Finance, Data, Engineering, and Leadership
Benefits
- Competitive compensation
- Equity
- Health insurance
- Dental insurance
- Vision insurance
- Flexible spending account
- 401(k) match
- Flexible paid time off