Life Insurance Jobs in Lake Oswego, OR

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

Product Marketing Manager

Company:

Location: Silver Lake, WI

Posted Feb 06, 2025

Distribution Manager

Company:

Location: Silver Lake, WI

Posted Feb 06, 2025

Branch Manager, Producing

Company: Morgan Stanley

Location: Lake Elmo, MN

Posted Feb 06, 2025

Pricing Analytics Manager

Company:

Location: Silver Lake, WI

Posted Feb 06, 2025

Program Manager

Company:

Location: Eugene, OR

Posted Feb 06, 2025

Warehouse Manager - Overnights

Company:

Location: Silver Lake, WI

Posted Feb 06, 2025

Verizon Sales Consultant

Company:

Location: Canyon Lake, TX

Posted Feb 06, 2025

Marketing Analytics Manager

Company:

Location: Lake Bluff, IL

Posted Feb 06, 2025

Solution Analyst

Company:

Location: Silver Lake, WI

Posted Feb 06, 2025

Travel Retail Sales Merchandiser

Company:

Location: Salt Lake City, UT

Posted Feb 06, 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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