Trading Data & AI Analyst

About the Role

We are looking for someone who is already deep into AI, not just familiar with it, to join our EMEA Equity Trading team. You will analyse trading data, automate desk outputs and build tools that seek to improve our processes. This is a technical role, not a trading role: you will learn the domain from one of the most experienced equity trading teams in the industry, but you need to arrive with genuine AI and data capability from day one.

• Own the AI and automation agenda for the team. You will have the freedom to identify where AI tooling can replace manual processes, design the solution and build it. This is not a role where you execute someone else’s backlog; you are expected to bring ideas, test them quickly and ship what works.
• Work directly with Traders and Portfolio Managers to understand how they consume data, where their pain points are and what would change their workflow. The tools you build will be used by the most senior investment professionals in the firm, so everything you deliver needs to be clear, well designed and grounded in how the desk actually operates.
• Analyse trading datasets using Python and AI tooling to surface trends, inefficiencies and opportunities. You will encounter execution analytics, Transaction Cost Analysis, Algo Wheel configuration, market microstructure and European regulatory requirements. You do not need to arrive as an expert in all of these, but you need to be comfortable working with complex, domain‑specific data and learning fast.
• Modernise the desk's day‑to‑day outputs from a consumable content standpoint so they are automated, visually sharp and worthy of readership.
• Help the wider team build confidence with AI tooling. Run demos, share practical examples, explain what works and why. The goal is not just for you to stay current with new tools and techniques, but to bring the rest of the desk along so the whole team's capability rises, as well as your own.
• Contribute to the firm's wider community of AI practitioners, sharing what works on the desk, learning from other teams & experts and evolving best practice for AI adoption across the organisation.

• A degree in a technical or quantitative discipline, or equivalent professional experience. No specific degree subject is required; capability and aptitude matter more than the title on the certificate.
• Python and AI‑assisted development. You will write code with AI, not without it. Comfortable working alongside agents and AI coding tools (Git Hub Copilot, Claude Code or similar) to build, debug and iterate. Enough engineering judgement to ensure what you produce is safe, reliable and fit for production use on the desk and in an enterprise environment.
• AI proficiency. Prompt engineering, LLM‑assisted analysis, agentic workflows, tool orchestration. You should be the person your peers come to when they want to know what is possible.
• Numerically sharp. Comfortable working with large, complex datasets and spotting when outputs do not make sense. This role sits on a trading desk; therefore, in addition to coding you will need good communication skills and fluency with numbers.
• Delivery mindset. Builds things that work and last, whether handed to a technology team to product ionise or owned and maintained on the desk.
• Stakeholder communication. Can explain technical trade‑offs clearly to non‑technical audiences.
• 2‑3+ years in a technical, data or analytics environment. Financial services exposure is a plus, not a prerequisite.

• Demonstrated personal interest in AI beyond the workplace. Candidates who actively explore AI in their own time, whether through side projects, experimentation with new models, or automating real‑world problems outside of work, tend to bring a level of curiosity and initiative that is difficult to teach. This will be explored during the interview process.
• Financial knowledge. Exposure to equity markets, trading, execution analytics, algorithmic trading or market microstructure. Interest in developing this knowledge (e.g. CFA study) is also valued.
• SQL and data platforms. Comfortable querying structured data, ideally with experience…