AI Model Risk Manager
Impact: Financial system stability and regulatory compliance through rigorous AI model oversight
Assess and manage the risks associated with deploying AI models in regulated industries such as finance, healthcare, and insurance. Design model risk frameworks, conduct model validation, and ensure compliance with SR 11-7 and emerging AI regulations.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 55% Team / 45% Solo
- Client facing
- Sometimes
- Impact visibility
- Moderate
- Travel
- 10 to 15% for regulatory meetings
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 40 to 50 hours/week
- Stress level
- Moderate
At a glance
- Median salary
- $155,000
- Entry-level
- $110,000 - $135,000
- Senior
- $210,000+
- Growth by 2033
- 28% (much faster than average)
- Demand
- Growing Fast
- Freelance potential
- Low
- Salary growth potential
- High - 65 to 80% growth from entry to senior
- Typical student debt
- $30,000 - $80,000
Skills you'll use
Hard skills
- Model validation
- Python
- Statistical analysis
- SR 11-7 compliance
- Risk frameworks
- SQL
- Documentation
Soft skills
- Analytical thinking
- Attention to detail
- Risk communication
- Stakeholder management
- Regulatory knowledge
Technical complexity: High
How to get there
- Minimum education
- Master's Degree
- Licensing
- No
- Years to mid-career
- 3 to 5 years
- Years to senior
- 7 to 10 years
- Career switching
- Hard
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Risk Analyst > AI Model Risk Manager > Senior AI Risk Manager > Head of Model Risk > Chief Risk Officer
Future outlook
- Automation probability
- 20% moderate risk as some validation tasks can be automated
- AI disruption risk
- Low
- Demand trend
- Growing Fast
How people feel about it
- Overall satisfaction
- 7.6/10
- Meaning
- 7.8/10
- Work-life balance
- 7/10
- Prestige
- 7.8/10
- Social perception
- High