Life Insurance Jobs in PHOENIX, Arizona

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

Regional Truck Driver, 100% No-Touch

Company: Mesilla Valley Transportation

Location: Phoenix, AZ

Posted Aug 04, 2025

Must live within 100 miles of Nashville, TN. *Weekly earnings up to $1,650*. Earn up to $1,650 / week with predictable home time options.

Assistant Project Manager

Company: Compu Dynamics

Location: Phoenix, AZ

Posted Aug 04, 2025

The APM will engage with vendors, partners, and customers, develop project documentation, and coordinate field and office operations.

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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