About the Position
Machine learning is a critical pillar of Capchase global business, and our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation.
Researchers at Capchase 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.
We’re looking for people to join the research team with deep ML experience in either an applied or academic context. A good candidate should have a profound understanding of a wide variety of ML techniques and a passion for tinkering with model architectures, feature transformations, and hyperparameters to generate robust inferences. We also want individuals who are skilled communicators, capable of quickly absorbing the context of a new problem, carefully considering tradeoffs, and recommending potential solutions.
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 firmwide goals.