Tech Stack

Description

Apply machine learning and deep learning techniques to trading problems, improving predictive models and discovering new sources of alpha. You will work with large datasets and collaborate with quant researchers and software developers to implement research into production.

Requirements

• Masters or PhD in Computer Science, Math, Statistics, or related field
• At least two years of ML/AI research experience in professional or academic setting
• Experience with Python/C++ software engineering
• Experience with TensorFlow, Keras, or PyTorch highly desirable
• Track record of academic publications preferred

Responsibilities

• Apply machine learning and deep learning to trading problems
• Follow academic research and incorporate techniques from various fields
• Improve tick-by-tick order book feature sets using preprocessing
• Develop and implement deep learning models for predictive alpha
• Partner with quant researchers and software developers to productionize research