Staff Risk Data Scientist

We are looking for a talented, enthusiastic and dedicated data scientist/tech lead to join Bill’s Card Compromise Fraud Risk team. The incumbent will be working on fraud strategy projects, guiding data scientists, leading the collaboration between the Card Compromise Fraud Risk and Cross Functional teams related to key fraud risk department initiatives. The incumbent will take the ownership of key end-to-end strategy associated with real-time fraud detection, transaction risk monitoring, etc. to support new and existing BILL Card products. This individual will also design experiments to understand the impact of customer experience when leveraging machine learning in complex risk strategy changes. This position requires a person who has experience with developing and implementing real-time fraud detection strategy and performing advanced analytics preferably in the risk domain, as well as leading large scale projects.

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