AI Lab - Research

The AI Lab is a research-focused trading team exploring how advances in machine learning can be applied to complex problems in quantitative research and trading. The Lab develops and runs its own ML-driven trading strategies, owning the full lifecycle from research and experimentation through production and revenue generation. The AI Lab sits within the Quantitative Strategy Group (QSG), and brings together researchers/traders, machine learning engineers, and software engineers to develop and execute its strategies.

As a Researcher in the AI Lab, your key responsibilities include:

• Designing, developing, and training novel ML models and methods — including LLMs and other foundation models — drawing on advances in deep learning and sequence modeling, for deployment in production trading systems

• Researching and developing new ML approaches for complex quantitative and sequential modeling problems

• Formulating hypotheses and designing rigorous experiments and evaluation frameworks, using appropriate baselines, ablations, and out-of-sample testing to identify promising research directions and understand why approaches succeed or fail

• Translating ideas from research papers and theoretical work into working implementations, adapting and extending them to new problem domains

• Applying ML techniques to large-scale financial datasets, including time-series and unstructured data, to identify and evaluate potential predictive signals

• Training and evaluating models at scale, leveraging GPU and distributed computing environments as needed

• Building and leveraging research tooling, including agentic and automated research workflows, to accelerate experimentation

What You'll Get

You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.