Quantitative Researcher - Machine Learning

Point72

New York, United States
On-site
Deep learning
Natural language processing
Sequential modeling
Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave

Job Summary

  • Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.
  • Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem.
  • Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning.

Matching Summary

Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave.

Skills & Requirements

Must-have

  • deep learning
  • natural language processing
  • sequential modeling
  • time series forecasting
  • representation learning
  • Python and R programming
  • TensorFlow or PyTorch

Nice-to-have

  • applying machine learning to finance
  • collaborative mindset
  • independent research ability
  • exceptional personal achievements

Key Requirements

  • PhD or PhD candidate
  • experience translating mathematical models into code
  • data driven research environment experience

Work Rights

Not specified

Tailored Resume

Cover Letter