Data Scientist - Machine Learning Researcher

About the Role

Jane Street is a global trading firm that utilizes advanced machine learning techniques to drive its business. We are seeking a highly skilled Machine Learning Researcher to join our team.

The successful candidate will be responsible for building models, strategies, and systems that price and trade financial instruments algorithmically. This will involve processing large datasets, identifying patterns, and developing robust inferences.

We are looking for someone with a deep understanding of machine learning techniques, a passion for iterating with model architectures, feature transformations, and hyperparameters, and the ability to quickly absorb the context of a new problem.

As a Machine Learning Researcher at Jane Street, you will learn how our firm applies advanced machine learning and statistical techniques to model and predict moves in financial markets. You will gain hands-on experience working with our GPU cluster and analyzing real trading data.

About You
• You should be an undergraduate, PhD student, or postdoc with practical experience working on machine learning problems.
• You should be able to apply logical and mathematical thinking to all kinds of problems.
• You should be intellectually curious, asking great questions is more important than knowing all the answers.
• You should be a strong programmer in Python.
• You should be an open-minded thinker and precise communicator who enjoys interacting with colleagues from a wide range of professional backgrounds and areas of expertise.
• You should be eager to ask questions, admit mistakes, and learn new things.
• Fluency in English is required.

Jane Street will provide flights to and from Hong Kong, as well as accommodation throughout the program.