FM
Finance → ML Engineering
Risk analyst who switched from flagging model drift to building the models
Risk analyst who switched from flagging model drift to building the models
Verified Domain Engineer (Beta)
Engineering Depth 5/5
Pivot Story
“My risk models kept getting too complex for spreadsheets. I took an ML course to learn better tools and realized I wanted to build models full time.”
Finance
Telecom
The Past
Jan 2010 - Jun 2018 (8 years 5 months)
Risk Analyst
Built credit-risk and market-risk models for a bank holding company. Presented stress-test results to the board risk committee quarterly.
The Now
Jan 2019 - Present (7 years 3 months)
ML Engineer
Building credit-risk and market-risk scoring models using gradient-boosted trees and neural nets. Python, PyTorch, and MLflow. Models serve 200K scoring requests daily.
About
Spent years building risk models in Excel that kept outgrowing the spreadsheet. Retrained in ML engineering and now I build the scoring systems properly.
Domain Signals
Domain Focus
Finance
Tech Focus
ML Engineering
Engineering Depth
Level 5/5
Self-rated hands-on software depth.