Responsibilities include:
• Building NLP datasets and pipelines to derive features
• Formulating research hypotheses to derive alpha
• Building and testing the performance of trading signals based on NLP and financial features
• Launching identified signals into production
REQUIREMENTS
• Master’s or PhD graduate or candidate in computer science or another quantitative discipline
• Proficient in Python and general software engineering principles (github, testing, dev workflow)
• Strong Machine Learning/Statistics understanding
• Interest in financial markets
• Collaborative mindset
PREFERRED QUALIFICATIONS
• Prior research experience
• Prior experience (fulltime or internship) in software development
• Experience with deep learning, specifically NLP – PyTorch, HuggingFace, LLMs, etc.
• Data science stack familiarity
