NLP Machine Learning Data Engineer

new york, New York

A leading global financial services firm is currently seeking a NLP Machine Learning Data Engineer to join their team in New York. This firm is active in investment banking, wealth management, securities, and investment management services. This firm gives you the opportunity to work next to some of the best professionals in the business with cutting edge technology. The technology team’s priorities include cloud computing, big data and analytics, machine learning, artificial intelligence and cybersecurity as well as staying up to date on emerging technologies.

In this firm not only are you learning and working on prestigious projects but you also have the ability to give back to the community. This firm uses their business skills to help nonprofits and they volunteer globally. This is an excellent opportunity for anyone at any level looking to excel their career.

This candidate will join a group that is responsible for all aspects of the company's core applications that help traders manage positions and trades, calculate P&L, assess bond valuations, and calculate risk. This group is responsible for a set of credit analysis tools that help identify trading opportunities, you will help build a platform of tools to enable trading/sales in revenue generation. The successful candidate will perform groundbreaking work in Natural Language Processing and Machine Learning methods, and will tailor them to front-office applications involving credit analysis, trading strategies, pricing models, and more. 

Skills: 

  • MS or PhD in Natural Language Processing, Machine Learning, or related field 
  • 5+ years, a combination of professional and research experience 
  • Expertise in one or more programming languages: Java 8, Scala, Python, R, willing to consider others 
  • Apply different NLP techniques to areas such as sentiment analysis, classification, data/knowledge extraction, disambiguation 
  • Expertise in NLP methods such as LSA, LDA, Semantic Hashing, Word2Vec, LSTM, BiDAF 
  • ML experience with different supervised and unsupervised learning algorithms 
  • Experience working with large, complex and diverse data sets from a variety of sources 
  • StanfordCoreNLP/GATE experience a plus 
  • Experience with Spark, or similar frameworks a plus 

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