Join a cutting edge team using predictive models based on machine learning techniques to protect against fraud. You will use a variety of advanced modelling techniques including linear regression, random forests and gradient boosted machines, primarily on a Hadoop infrastructure, with the latest tools and very large sets of data.
Development and management of machine learning models for fraud detection.
Trusted consultant to team members in the Global Fraud Management and Technology teams on fraud detection modelling, contributing to model related decisions.
Advanced analytical skills and ability to develop and implement predictive machine learning models on very large data sets in Hadoop environments using tools such as Python, Spark and MLLib.