Life Insurance Jobs in mesa, Arizona

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

Class A Dedicated Local Truck Driver - 3 Months Experience Required

Company: C.R. England

Location: Mesa, AZ

Posted Jul 21, 2025

On this fleet drivers average 10-12 hours a day. Looking for drivers for an early 3AM-4AM start schedule. Valid CDL-A plus 3+ months of Class A CDL experience…

Substitute Teacher

Company: La Mesa-Spring Valley School District

Location: La Mesa, CA

Posted Jul 21, 2025

Credential Copy (Attach a SCREENSHOT of Credential from CTC Website). 30-Day Substitute Teaching Permit. 2025 - 2026 School Year (186 days).

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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