Machine Learning Engineer II (ROA + LTV ML)
Core
Develop production-ready machine learning models to predict default likelihood and drive approval/decline decisions for credit products.
Role type
Senior IC machine learning engineer (credit risk)
Builds
Model training, decisioning, and monitoring systems for credit decisioning
Domain
Fintech / Credit Risk
Deliverable
production ML models
Required skills
Python, SQL, Generalized Linear Models, Gradient Boosting, Deep Learning, Probabilistic Calibration, Spark, Ray, scikit-learn, pandas, NumPy, XGBoost, Kubeflow
Responsibilities
Develop ML models using proprietary and third-party data to predict default likelihood; Partner with engineering teams to build model training and decisioning systems; Research and develop prototypes for credit decisioning; Implement and scale data pipelines and algorithms; Collaborate with cross-functional teams to define product requirements.
