AI Research Lead

Lead Deep Learning Researcher – Hedge Fund

I’m partnered with an industry-leading Hedge Fund that, after nearly 20 years of pioneering innovation and hiring some of the brightest minds in the market, is now looking to further its success through the latest advancements in deep learning. The firm has built its reputation on rigorous research and cutting-edge technology, and this hire will play a pivotal role in shaping the next generation of their quantitative research capabilities.

This is a rare chance to take full ownership of the fund’s AI research strategy. You’ll have complete freedom to explore, design, and implement novel deep learning models to generate alpha across the fund. Working alongside world-class quants, you’ll define the long-term roadmap for deep learning at the fund - from foundational model research to production deployment.

• Lead the development of advanced deep learning frameworks for financial time-series forecasting and market modeling.
• Research, prototype, and evaluate cutting-edge architectures (e.g., GNNs, RNNs, Transformers) for signal discovery.
• Collaborate closely with data engineering and trading teams to translate research insights into scalable, production-grade models.
• Set and drive the fund’s overall AI strategy, identifying emerging techniques and trends in academia and industry.
• Present research internally and contribute to the firm’s broader innovation initiatives.

• PhD (or equivalent research experience) in Artificial Intelligence, Data Science, Computer Science, Applied Mathematics, or a related field.
• A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR.
• Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets.
• Expertise in Python and modern ML frameworks (Tensor Flow, PyTorch, JAX, etc.).
• Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain.

• Compensation and total rewards package on par with top Big Tech firms.
• Opportunity to define the deep learning direction of one of the world’s most respected hedge funds.
• Hybrid model: 3–4 days a week onsite in Central London.