Credit Card Risk Modeling: Forecasting & ML Associate

A major financial institution in Los Angeles is seeking a Portfolio Risk Modeler to develop advanced forecasting models for credit card portfolios. The role involves working on large-scale data analysis and collaborating with various teams to communicate insights and guide business decisions. Candidates should possess a Master's degree in a quantitative field, demonstrate proficiency in Python or Scala, and have a strong interest in machine learning applications. This position offers the opportunity to engage with cutting-edge technology. #J-18808-Ljbffr