Tech Stack

Description

You will join a highly collaborative team at Point72 developing AI-driven equity trading signals using state-of-the-art machine learning and proprietary data. You'll manage the full research process from ideation to implementation, adapting existing models and conducting novel research to enhance portfolio returns.

Requirements

• Master's or PhD in machine learning, computer science, statistics, or related fields
• Strong preference for knowledge in sequence models, graph neural nets, reinforcement learning, LLMs
• Research experience applying ML over large, possibly noisy datasets
• Proficiency in ML libraries (Torch, JAX, or TensorFlow) and Python in cluster environment
• Strong analytical, quantitative, communication skills and detail-oriented mindset

Responsibilities

• Manage all aspects of research process: ideation, method selection, implementation, evaluation, application
• Identify, adapt, and extend existing ML models; conduct novel research to develop new trading signals
• Stay current on AI/ML advances to recommend new models/tools and identify opportunities