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Equity markets move fast and existing alphas decay due to their short life-span. To capture ever-shifting market dynamics, a successful fund needs to keep pushing the boundary and generate new alphas from various data sources. This position sits within the research team and will focus on researching and testing new ideas to generate alphas and to research and design strategies and optimize of portfolios. The key focus will be to leverage texts from traditional sources such as company reports, SEC filings as well as untraditional sources, local and national media, social media etc.   

Key Points:

• Alpha generation.
• Back-testing.
• Productionizing Strategies.
• Equity Price Prediction.
• Strong focus on natural language processing to generate alpha.

Preferred Background:

• PhD in Machine Learning with a focus on NLP.
• Undergraduate degree with a 3.8 GPA or higher.
• Publications in top tier Journals focusing on the subject of NLP.
• At least 2 years of real world experience (post PhD) with a research focus on NLP applied to the real world.
• Research oriented personality. 

Core Competencies:

• Probabilistic model-based sentiment analysis.
• sentiment classification.
• Syntax and Parsing.
• Language Modeling.
• Structural Inference.
• Speech Tagging and Information Extraction.
• Text Summarization.
• Collocations and Information Retrieval.
• Python, Java, C++.

If you would like to be considered for the position of Research Scientist, or wish to discuss the role further then please leave your details below. Your resume will be held in confidence until you connect with a member of our team