AI Underwriter
Impact: Risk assessment accuracy and underwriting efficiency through expert AI underwriting
Use AI and machine learning models to assess insurance and credit risk, make underwriting decisions, and improve the accuracy and efficiency of the underwriting process. Evaluate AI underwriting models, validate model outputs, develop underwriting guidelines for AI-assisted decisions, and ensure compliance with regulatory requirements.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 60% Team / 40% Solo
- Client facing
- Sometimes
- Impact visibility
- Moderate
- Travel
- 5 to 10% for industry events and regulatory meetings
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 40 to 55 hours/week
- Stress level
- Low
At a glance
- Median salary
- $165,000
- Entry-level
- $90,000 - $120,000
- Senior
- $280,000+
- Growth by 2033
- 12% (faster than average)
- Demand
- Growing
- Freelance potential
- Low
- Salary growth potential
- High - 65 to 80% growth from entry to senior
- Typical student debt
- Moderate
Skills you'll use
Hard skills
- 55
Soft skills
- 45
Technical complexity: Moderate
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- No
- Years to mid-career
- 2 to 4 years
- Years to senior
- 5 to 8 years
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Underwriter > Senior Underwriter > AI Underwriter > Head of AI Underwriting > Chief Underwriting Officer
Future outlook
- Automation probability
- 20% moderate risk as AI automates more underwriting decisions
- AI disruption risk
- Moderate
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 7/10
- Meaning
- 7/10
- Work-life balance
- 6.5/10
- Prestige
- 7/10
- Social perception
- High