Senior Manager, Data Science
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About The Position
Develops supervised and unsupervised Machine Learning (ML) models -- regression, decision trees/random forest, clustering, neural networks, SVM, K-Means, and time series. Improves surveillance and screening capabilities, using ML principles and emerging technologies. Designs, develops, and optimizes Anti-money laundering (AML) detection and sanctions models. Partners with colleagues to build software and data solutions that monitor transactions and sanctions systems across multiple business units, using Python and SQL. Researches, develops, and delivers models to detect suspicious activity within typologies that include, but are not limited to, cryptocurrency trading, cryptocurrency receipt/delivery, market manipulation (equities, options, and cryptocurrencies), securities fraud, insider trading, elder financial exploitation, and money-laundering and terrorist financing domains.
