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Text Mining Analyst

Waterfront International, Toronto-based quantitative finance research firm, specializing in statistical trading strategies, is looking for a talented analyst to perform sentiment analysis using various news data feeds, to find patterns, build models, and derive insight.

WILCompany: WIL
Location: Toronto, Canada

Waterfront International is a Toronto-based quantitative finance research firm, specializing in developing computer based statistical trading strategies. Waterfront's selective hiring process considers only highly talented individuals with a history of exceptional experience.

Text Mining Analyst

Primary Responsibilities:

  • Perform sentiment analysis using various news data feeds.
  • Analyze large amounts of news data to discover patterns, find anomalies, build models and derive insight.
  • Utilize Data Mining and Machine Learning techniques to establish scalable, efficient, automated processes for large scale data analysis, model development and model validation.

Requirements of the Candidate include:

  • PhD in Data Mining, Machine Learning, Artificial Intelligence or related field.
  • Extensive knowledge and experience in Text Analysis and Sentiment Analysis.
  • Experience analyzing large datasets.
  • Solid programming experience necessary

Waterfront International

1900-95 Wellington Street West
Toronto, Ontario
Canada M5J 2N7

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