Also called: Energy Risk Quant, Power Market Modeler
Builds math models to price energy contracts and manage the risk of wild price swings.
You code a model that forecasts how a Texas freeze could spike power prices, and help the trading desk decide how much risk to take.
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 math, statistics, physics, or financial engineering.
Ways in: Graduate school. Training cost: $60k – $150k.
Majors to look at: Mathematics, Statistics, Physics.
Growing much faster than average (about 8% over 10 years). Uses BLS statisticians projection.
Medium risk for 10 years. AI writes code and builds models faster, so fewer quants needed; deep math judgment stays valuable.
Classes: AP Calculus BC, AP Statistics, AP Computer Science.
Official data: O*NET occupation 15-2041.
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.