About the job

We are looking for someone with robust experience in machine learning and strong mathematical foundations to join this growing ML team with an Elite Prop Trading Firm to help drive the direction of their ML platform.

Machine learning is a critical pillar of their global business, and the ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation allowing to incorporate new ideas with relatively little friction.

Researchers are responsible for building models, strategies, and systems that price and trade a variety of financial instruments. As a mix of the trading and software engineering roles, this work involves many things: analyzing large datasets, building and testing models, creating new trading strategies, and writing the code that implements them.

Ideal Background

• Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production

• A strong mathematical background; Good candidates will be excited about things like optimization theory, regularization techniques, linear algebra etc

• A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package

• Expertise wrangling an ML framework - be it PyTorch, Jax, TensorFlow, or others 

As an ML researcher, your expertise will also shape the firm's future ML developments including hiring new ML researchers, attending conferences, teaching techniques to teammates, and setting firm-wide goals.

If you are interested or open to learning more, please apply directly or reach out for a confidential conversation.