Life Insurance Jobs in Colorado CO
113,288 open positions · Updated daily
Looking for Life Insurance jobs in Colorado CO? Browse our curated listings with transparent salary information to find the perfect Life Insurance position in the Colorado CO area.
ADC Engineer II, RDS/Aurora/DMS Amazon Dedicated Cloud Relational Engineering
Location: Denver, CO
Posted Jan 30, 2025
ADC Engineer II, RDS/Aurora/DMS Amazon Dedicated Cloud Relational Engineering
Location: Denver, CO
Posted Jan 30, 2025
ADC Engineer II, RDS/Aurora/DMS Amazon Dedicated Cloud Relational Engineering
Location: Westminster, CO
Posted Jan 30, 2025
Outside Sales Representative (No Sales Experience Necessary)
Location: Fort Collins, CO
Posted Jan 30, 2025
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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