AI Research Scientist

Why you d want this role

• One of the few environments where foundational model research directly feeds live trading systems.
• Access to dedicated compute infrastructure.
• A culture built around publishing; the firm actively supports and values research contributions to the broader scientific community.
• Flat structure with direct exposure to leadership from day one.
• Work alongside researchers and engineers recruited from the very top of the field globally.

• Consistently ranked among the safest and most liveable cities in the world.
• One of the fastest-growing hubs for buy-side finance and AI in the region.
• Significant tax advantages over London, New York, or Singapore.
• The most sought-after neighbourhoods are a 10-20 minute drive from the office.
• No tube strikes, no packed commutes, and a cab is around 8 each way.
• Year‑round sunshine and world‑class infrastructure.

• Researching and developing novel AI‑driven quantitative trading strategies, applying the latest advances in LLMs, transformers, and deep neural networks to real market problems.
• Exploring large volumes of market and alternative data to discover and capitalise on new trading opportunities.
• Inventing and applying next‑generation methods in prompt engineering, signal processing, and time‑series analysis.
• Contributing to a research culture where your findings may be published and recognised beyond the firm.

• A Master s or PhD in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, Physics, Quantitative Finance, or similar).
• Deep practical knowledge of large language models and deep neural networks applied to real problems in NLP, vision, signal processing, or related domains.
• Strong experience analysing large datasets using rigorous ML and statistical methods (classification, regression, time‑series analysis, Bayesian methods, neural networks, and more).