Builds models that catch stolen credit cards, fake accounts and scams in real time.
You notice a new pattern: fraudsters testing small $1 charges. You train a model to catch it, test it doesn't block real customers and launch it.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Master's degree, about 6 years after high school. Bachelor's or master's in data science, statistics or computer science.
Ways in: 4-year college, Graduate school. Training cost: $60k – $150k.
Majors to look at: Data Science, Statistics, Computer Science.
Growing much faster than average. Strong demand as fraud grows.
Medium risk for 10 years. AI is the core tool, and fraudsters use AI too; humans keep designing defenses, but AutoML trims routine modeling roles.
Classes: AP Statistics, AP Computer Science, AP Calculus.
Official data: O*NET occupation 15-2051.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.