Data Scientist (Exploration Team)

You will be part of an exploration team inside the AI department, taking a step back from the day-to-day urgencies to pursue ambitious projects with high impact potential. Your focus will be on discovering and refining transformer-based neural network architectures, data pipelines, pre-training objectives, and fine-tuning strategies to power the next generation of machine-learning models for finance. You'll have access to a wealth of data, but also encounter noise, needing to follow clues, spot patterns, ask sharp questions, wrestle with uncertainty, uncover the story hidden in the numbers, and turn raw data into knowledge. You’ll stay on the cutting edge, diving into both seminal papers and the latest conference breakthroughs, distilling fresh academic insights into inspiration for practical experiments for the models. You will have the opportunity to experiment using ample compute resources to run ambitious training cycles, scale up ideas quickly, and iterate based on learning. It's expected to experiment and allowed to fail, as long as you learn something. As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven.