Responsibilities:
• Utilize financial and other data to create or improve predictive models
• Develop and/or leverage leading-edge statistical and machine-learning models to enhance the research and development systems
• Create algorithms to monetize the predictive signals.
• Apply statistical techniques for time-series measurement / estimation and prediction
Further Qualifications:
• NLP Competence: Deep understanding of Natural Language Processing methods required for analyzing unstructured text data.
• Large Language Models (LLM): Experience working with LLMs necessary for developing state-of-the-art quant strategies informed by vast amounts of textual information
• Programming: Strong proficiency in Python needed due to its prevalence in statistical modeling tasks relevant to both signal generation & strategy implementation (must also have working knowledge of SQL and other common data science toolkits such as R and Spark)
• Strong data science modeling intuition and feature engineering creativity
• Must have graduate degree in a STEM subject (preferably a PhD)
• Any specific experience with datatsets such as medical transcripts and broker notes would be a plus but not required
• Open to consider candidates coming from tech or finance industries
Location: New York, NY
Posted: Sept. 13, 2024, 9:30 a.m.
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