AI Researcher

• Conduct advanced research in deep learning and AI methods, with applications across complex time-series and high-volume datasets
• Explore new model architectures, training frameworks, and optimisation strategies to improve predictive performance
• Translate techniques from other domains - such as robotics, audio, video, chemistry, or biology - into novel approaches for financial data
• Collaborate with engineers, hardware specialists, and fellow researchers to move ideas from theory to deployment in production systems
• Leverage large-scale compute resources and high-density GPU clusters to push forward training efficiency and scalability
• Contribute to the ongoing evolution of the firm's "foundation models for markets", helping refine both short- and long-term research directions

• 3+ years' experience in deep learning research, gained in academia or industry, across fields such as robotics, physics, biology, chemistry, video, or audio
• Strong technical engineering skills, ideally including one or more of: GPU kernel development, low-level PyTorch or JAX, C++ programming, HPC systems, or FPGA/ASIC design
• PhD or advanced research background with publications at major conferences (ICML, NeurIPS, ICLR) is highly valued, though not essential depending on experience
• Degree(s) from a leading computer science, mathematics, or engineering institution (top-tier universities are strongly preferred)
• Interest in large-scale model development; exposure to LLMs is useful but not required
• Curiosity, persistence, and the ability to thrive in a fast-paced, collaborative, low-bureaucracy research setting
• (Preferred) Track record of applying research methods across different domains or transferring techniques into new contexts

[Up to c. $375k Comp Package (or equivalent) | Hybrid Working]

We're partnering with a leading quantitative trading firm renowned for its deep investment in AI and large-scale research infrastructure. Their specialist AI group is developing next-generation models that process vast, high-frequency datasets to predict market dynamics and influence trading strategies. As an AI Researcher, you'll be part of a small, high-calibre team where your work directly shapes live trading. You'll design and experiment with cutting-edge deep learning methods, spanning data representation, model architecture, and training optimisation. Unlike traditional research environments, your contributions will have immediate, measurable business impact - with access to some of the most powerful GPU research clusters in the world and the freedom to pursue high-value ideas...