Machine Learning Engineer - KYC

Careers at Bloomberg

New York

Posted Jun 26, 2017 - Requisition No. 59183

Our Team

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.

What’s in it for you

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).

We’ll trust you to

  • Identify and formulate various challenges in AML and KYC domains as Machine Learning (ML) problems.
  • Design, develop, and validated proposed ML solutions.
  • Deploy these solutions on a large scale where performance and maintainability are critical.
  • Stay abreast of latest advances and best practices in academia and industry.

You’ll need to have

  • 2+ years of industry experience in IR (Information Retrieval) / ML / NLP (Natural - Language Processing) domain.
  • 2+ years of experience programming in java or python.
  • PhD or Masters degree in IR / ML / NLP domain or Bachelors degree with at least 5+ years of relevant work experience.

We’d love to see

  • Publications in top-tier conferences or journals.
  • Experience with Big data technologies such as Spark and Hadoop.
  • Experience with Deep learning.
  • Understanding of AML or KYC.
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