Actuarial Analyst
Delos Insurance Solutions
San Francisco, CA0–2 yrs7m agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- Data analysisAuditingStatisticsStakeholder management
- Nice to have
- ExcelPythonSQLPower BI
- Work
- On-site in San Francisco
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management40%Data analysis32%Statistics31%Auditing23%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 4, 2026 · still open
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About the Role
Delos Insurance Solutions is seeking an Actuarial Analyst to support pricing and portfolio management for property insurance in climate-impacted markets. This role reports to the Lead Actuary.
Key Responsibilities
- Data Analysis and Quality: Collect, clean, validate, and reconcile quote, policy, premium, exposure, and claims data. Investigate discrepancies and document data definitions and analytical methods.
- Pricing and Actuarial Support: Assist with rate analyses, rating-factor evaluations, loss-cost assumptions, competitive benchmarking, and sensitivity testing. Assess the effects of coverage, deductible, limit, and minimum-premium changes.
- Excel Tools and Analytical Models: Build, maintain, and improve pricing workbooks, analytical models, and reporting templates with clear formulas, documented assumptions, and reliable quality checks.
- Climate and Catastrophe Analytics: Work with data science colleagues to understand proprietary wildfire and other risk-model outputs and support their use in pricing, risk segmentation, and exposure monitoring.
- Product and State Expansion: Support the development and launch of property products in new states by researching market conditions, state-specific hazards, competitor pricing, coverage differences, and available loss-cost information.
- Rating Validation: Calculate expected premiums independently, compare results with the quoting system, and help test rating changes before and after implementation.
- Portfolio Monitoring: Analyze production, conversion, retention, cancellations, premium changes, business mix, and geographic and catastrophe exposure concentrations. Support loss-experience and profitability analyses.
- Reporting and Communication: Prepare reports, exhibits, and presentations for leadership and carrier partners. Explain findings clearly and identify issues or opportunities for further review.
- Documentation and Regulatory Support: Help maintain pricing specifications, assumption logs, version records, approval exhibits, and launch checklists. Assist with rate filings and regulatory responses.
- Cross-Functional Collaboration: Partner with underwriting, finance, product, technology, and distribution teams to answer business questions, improve workflows, and support new program development.
Requirements & Tech Stack
- Microsoft Excel proficiency, including PivotTables, lookup functions, conditional formulas, SUMIFS/VLOOKUP, charts, and formula auditing.
- Ability to work with large datasets, identify inconsistencies, evaluate reasonableness of results, and produce clear, reproducible analyses.
- Strong analytical skills and a foundation in statistics, probability, mathematics, and financial concepts.
- Effective written and verbal communication, including the ability to explain technical findings to non-technical stakeholders.
- Attention to detail, strong organizational skills, and ability to manage multiple priorities.
- Ability to collaborate in a fast-paced environment and adapt to evolving business needs.
Qualifications
- Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, Economics, or a related quantitative field, or equivalent relevant analytical experience.
- Zero to two years of relevant experience; recent graduates and candidates with internship experience are encouraged to apply.
Preferred Qualifications:
- Pre-ACAS candidate actively pursuing the Casualty Actuarial Society credential, with one or more actuarial exams passed and demonstrated exam progress.
- P&C insurance experience or an internship, particularly in property pricing, underwriting analytics, or catastrophe-related work.
- Familiarity with SQL, Python, or R.
- Experience with Excel Power Query, reporting automation, Tableau, Power BI, or similar analytical tools.
- Experience working with, or interest in, climate, catastrophe, wildfire, or geospatial risk modeling.
- Familiarity with insurance rating plans, surplus lines insurance, product development, or new-state launches.