Point72 Deep Learning/NLP Researcher
💼 Graduate Job
🤑 $150K - $200K
AI generated summary
- The ideal candidate for the Point72 Deep Learning/NLP Researcher position should have a degree or be currently pursuing one in computer science or a quantitative discipline, proficiency in Python and software engineering, strong knowledge of machine learning and statistics, an interest in financial markets, and a collaborative mindset. Prior research experience, software development experience, and familiarity with deep learning, specifically in NLP using PyTorch, HuggingFace, LLMs, and the data science stack are preferred qualifications.
- The Point72 Deep Learning/NLP Researcher will create NLP datasets and pipelines, develop research hypotheses for alpha generation, build and test trading signals based on NLP and financial features, and launch identified signals into production to improve finance strategies.
- We are seeking a quantitative researcher to join a NLP quant research team within Point72. The ideal candidate would have strong machine learning and software engineering skills, some experience with modern NLP and a curiosity about finance and trading.
- Bachelor, 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
Area of Responsibilities
- 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
- We believe the recent significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.
150000 - 200000 USD