Natural Language Processing Scientist (NLP)

Company:  NLP PEOPLE
Location: Chicago
Closing Date: 07/11/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

My client is a niche team of NLP and Automated Speech Recognition experts who work in a research-oriented team utilizing best practices in searching for “new alpha” in a new R&D trading group. They work on extremely large, noisy data sets with the task of extracting business-useful information that is helping shape a new dynamic, industry-leading group. The group is now embarking on an aggressive growth plan looking to hire “world-class” talent to complement the existing talent within the group.

The team I am working with is supported by the whole company and applies a variety of machine learning/NLP/ASR techniques to improve the performance of the group and firm, to optimize profits.

Candidates will ideally have a PhD/MSc in Statistics, Machine Learning, Comp Sci, or similar. My client is looking for people who are excellent coders, coding in either C++ or Python and are open to speaking to straight grads post-doc; however, they have a preference for “out of industry candidates” who are open-minded in tackling the complex problems of finance and non-finance related research.

All team members will bring their own expertise in any given area and have the chance to increase their knowledge to include all/most of the following techniques with internal training and the knowledge base the wider group has:

  • Information Retrieval (Content Recommendation, Search Metrics, Search Query)
  • Classification (Neural Net, Logistic Regression, Decision Trees, KNN, etc)
  • Regression (Linear, Nonlinear, etc)
  • NLP Algorithms (Acoustic Modeling, Document Classification, Statistical Machine Translation)
  • Clustering (K-means, Fuzzy C-means, Hierarchical, Mixture Modelling, etc)
  • Time-series Modelling/Prediction (AR, ARMA, ARIMA, Exponential Smoothing, etc.)
  • Bayesian Modelling (Gaussian processes, MCMC, etc.)
  • Hierarchical Modelling
  • Statistical Model Development (Hypothesis Testing, Learning, etc.)
  • Big Data experience
  • High-performance computing
  • C++ and Python

This is an industry-leading opportunity with significant investment allocated to make this one of the most profitable, innovative, dynamic, and intellectually diverse teams in the industry.

Company:

Westbourne Quantitative Trading, Technology & Research

Qualifications:

  • PhD/MSc – Machine Learning, CompSci, Physics or similar
  • C++/Python programming
  • Machine Learning/ASR/NLP techniques
  • Intellectual Curiosity

Educational level:

Master Degree

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