Lead Risk Data Scientist (Hybrid)

A modern digital bank is seeking an experienced Risk Data Science Manager to develop and oversee risk models and machine learning algorithms. Responsibilities include building databases, conducting data analysis, and monitoring risk model performance. The ideal candidate should have a Bachelor's degree in Computer Science or a related field, with 5+ years of experience in risk modelling, and proficiency in R, Python, SAS, or SPSS. The position offers a hybrid work setup, requiring three days on-site.
#J-18808-Ljbffr