The company is looking to leverage NLP methods to develop end-to-end signals for finance and trading.
Requirements
- Proficient in Python and general software engineering principles (github, testing, dev workflow)
- Strong understanding of machine learning and statistics
- Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
- Data science stack familiarity preferred
Responsibilities
- Using NLP to construct features from varied datasets
- 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
Other
- Bachelor’s, Master’s or PhD degree in computer science or other quantitative discipline
- An interest in financial markets
- Great attitude
- A collaborative mindset
- Commitment to the highest ethical standards