VP Machine Learning Modeling - Fraud Analytics
The bank is looking to add to its quantitative risk modeling leadership team by hiring a Data Scientist / VP Quantitative Modeling to focus on transaction fraud. This person will utilize Spark/Python/R and have in depth knowledge of Machine Learning and Fraud Modeling.
The role will be responsible for building, documenting, delivering and maintaining transaction fraud models and predicting various fraud behaviours through whole transaction cycle.
The person must work collaboratively with a range of stakeholders including outside analytical professionals, technology partners, and senior management.
Key accountabilities span Project Development, Design, and Management, Analytic Support, Governance/Compliance, External Client Relationship Management and Department Management.
Sthree US is acting as an Employment Agency in relation to this vacancy.My client is a top global banking institution with operations across investment, retail and private banking.