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.

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