Point72 / Cubist
Quantitative Researcher - Machine Learning
New York +1 · Full-time · Posted Aug 15, 2024
- Location
- New York
New York, New York, United States - Experience
- No years specified.
- Education
- PhD or PhD candidate in machine learning, computer science, statistics, or a related field.
About the job
Develop and evaluate machine-learning trading models by conducting research across the full modeling process, from data preparation and feature development to implementation and performance evaluation.
What you'll do
- Conduct rigorous research to develop trading models and assess market behavior.
- Ingest, clean, analyze, and prepare data; develop features and evaluate their effectiveness.
- Implement, test, prototype, and evaluate machine-learning financial models.
What they ask for
- PhD or PhD candidate in machine learning, computer science, statistics, or a related field.
- Experience with deep-learning sequential modeling and time-series forecasting, deep neural networks, and representation learning.
- Experience in a data-driven research environment and translating mathematical models and algorithms into code.
- Proficiency in Python and R, and experience with machine-learning libraries such as TensorFlow or PyTorch.
Nice to have
- Experience with natural language processing technology is a strong plus.
Tools
Python, R, TensorFlow, PyTorch
AI focus
Apply machine learning, particularly deep learning and potentially NLP, to develop and evaluate financial trading models and improve data prediction.
Model-written summary · the original posting is authoritative