Life Insurance Jobs in Olympia, WA

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Looking for Life Insurance jobs in Olympia, WA? Browse our curated listings with transparent salary information to find the perfect Life Insurance position in the Olympia, WA area.

Full Stack Scientific Data Visualization Software Engineer

Company: ARiA

Location: Seattle, WA

Posted Feb 16, 2025

Bachelor’s degree or greater in a relevant technical field (Computer Science, Engineering, or equivalent). Master’s degree or greater in a relevant technical…

CDL-A Driver - Home Daily - Earn $81,187-$91,292/Year + Benefits

Company: Hub Group

Location: Seattle, WA

Posted Feb 17, 2025

Employee Assistance Program (EAP) provides a confidential resource available over text/chat/video to employees and household members to help with navigating…

Frequently Asked Questions

What are typical salary ranges by seniority in Life Insurance tech roles?
Entry‑level Actuarial Analysts earn $70k–$90k; mid‑level analysts $90k–$120k; senior analysts or data scientists $120k–$160k; directors and VP‑level roles range $160k–$220k, often with bonus and equity components.
What skills and certifications are required?
Actuarial exams (SOA/ CAS), CPCU, or CFA; proficiency in SAS, R, Python, SQL; data visualization with Tableau or Power BI; Salesforce and API integration for underwriting; knowledge of Solvency II, Dodd‑Frank, and ESG reporting frameworks.
Is remote work available for Life Insurance tech positions?
Yes—many firms offer fully remote or hybrid models for analytics, software engineering, and product roles. Typical policies allow 3–5 remote days per week, with optional in‑office meetings for cross‑functional collaboration.
What career progression paths exist in Life Insurance tech?
Start as an Actuarial Analyst or Data Scientist, advance to Senior Analyst or Automation Engineer, then to Manager or Lead Analyst, followed by Director of Analytics or VP of Technology, and ultimately Chief Data Officer or Chief Actuary.
What industry trends are shaping Life Insurance tech?
AI‑driven underwriting, real‑time pricing engines, micro‑insurance platforms, ESG risk modeling, regulatory tech (RegTech) for compliance, automated claims processing, and blockchain for policy lifecycle management.

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