Also called: Quant Validator
Checks the math in a bank's risk and AI models to make sure they aren't wrong in dangerous ways.
You take a colleague's model for predicting loan defaults, rebuild it from scratch, find it fails in a recession and write a report regulators will read.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Master's degree, about 6 years after high school. Master's or PhD in a quantitative field common.
Ways in: Graduate school, 4-year college. Training cost: $60k – $150k.
Majors to look at: Statistics, Mathematics, Financial Engineering, Physics.
Growing faster than average. Growing with AI model use in banking.
Low risk in 5 years, medium in 10. More AI models at banks means more models to test; AI helps with code review, but regulators require human validators.
Classes: AP Statistics, AP Calculus, AP Computer Science.
Official data: O*NET occupation 13-2054.
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.