Posted Jun 26, 2017 - Requisition No. 59183
We are part of a new startup within Bloomberg that leverages financial expertise, cutting edge technologies, and innovation to solve critical problems for the world's leading financial institutions and corporations. Our engineers focus on helping clients address regulatory and operational challenges arising from KYC (know your customer) and AML (Anti money laundering). We build a portfolio of rapidly increasing web-based products and APIs that facilitate secure document exchange and permissioning (Entity Exchange), data cleansing and verification (Entity Verification), and screening peps, sanctions and adverse media (Entity Screening).
On the KYC Machine Learning team, you will play a critical role in the development of these products. We focus on building models that extract entities, relationships among them, and pertinent intelligence from a diverse array of data-sets in the financial and regulatory ecosystems.
Our customers use this information in making crucial decisions; it is paramount that our systems have high precision, accuracy, and low latency. As a member of this team, you will tackle a very interesting set of computational problems such as search and retrieval, document classification, named entity recognition (NER) and disambiguation (NED).