Life Insurance Jobs

950,527 open positions · Updated daily

Life Insurance is pivoting toward data‑driven products as insurers deploy AI for underwriting, real‑time pricing, and predictive claims modeling. The surge in digital customer journeys has doubled demand for tech talent that can translate actuarial insights into scalable platforms.

Key roles include Actuarial Analysts who build loss‑prediction models in SAS or R, Underwriting Automation Engineers who develop rule‑based engines on Python and Salesforce, Claims Data Scientists who mine claim histories with SQL and Tableau, Product Managers who shape digital policy offerings, and Risk Analytics Specialists who implement ESG risk metrics.

Salary transparency in Life Insurance tech lets candidates compare market rates for niche skills, reduce negotiation time, and attract diverse talent who value equity. Knowing exact pay ranges for actuarial, data, and engineering roles drives informed career moves and helps firms benchmark against industry leaders.

No jobs found in this category at the moment. Check back soon!

Browse All Jobs

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.

Related Pages