Life Insurance Jobs in Austin, Texas

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

Pharmacist

Company: Texas Oncology

Location: Austin, TX

Posted Sep 05, 2025

Current license as a Pharmacist in state of practice. Bachelor's degree from an accredited school of pharmacy and current state licensure.

Principal Visual Designer - Conversational & Agentic Experiences

Company: Bumble Inc.

Location: Austin, TX

Posted Sep 05, 2025

Partner with design systems and engineering to codify these standards into reusable frameworks. Mentor mid-level designers, developing the next generation of…

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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