AI Fraud Detection Analyst
Impact: Financial security and fraud prevention through expert AI fraud detection
Use AI and machine learning models to detect, investigate, and prevent financial fraud across payment systems, banking, and insurance. Analyse fraud patterns, evaluate AI fraud detection models, develop fraud rules and thresholds, investigate flagged transactions, and work with engineering teams to improve fraud detection systems.
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
- $140,000
- Entry-level
- $75,000 - $100,000
- Senior
- $230,000+
- Growth by 2033
- 18% (faster than average)
- Demand
- Growing
- Freelance potential
- Low
- Salary growth potential
- High - 65 to 80% growth from entry to senior
- Typical student debt
- Low
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
- 1 to 3 years
- Years to senior
- 4 to 7 years
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Fraud Analyst > Senior Fraud Analyst > AI Fraud Detection Analyst > Head of Fraud Detection > VP of Financial Crime
Future outlook
- Automation probability
- 20% moderate risk as AI automates more fraud detection
- 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