Tech Stack

Description

You will apply rigorous scientific methods to develop sophisticated trading models using machine learning, managing all aspects of the research process from data ingestion to performance evaluation. You'll work with industry-standard datasets and have the opportunity to implement and construct your own models to solve complex financial problems.

Requirements

• PhD or PhD candidate in machine learning, computer science, or related field
• Experience with sequential modeling and time series forecasting using deep learning
• Experience with deep neural networks and representation learning
• Proficient in Python and R
• Experience with TensorFlow or PyTorch

Responsibilities

• Develop sophisticated trading models using machine learning
• Manage all aspects of research process from data ingestion to performance evaluation
• Analyze data, select methodologies, and implement prototypes
• Construct and develop features from raw data
• Estimate effectiveness of features and models