Head of Pre-Trade Data & Analytics | £160k base Bonus | London | Permanent Industry: Trading Location: London - 3 days in office Job Type: Permanent Our client, a global energy trading firm, is seeking a Head of Pre‑Trade Data & Analytics to lead the strategy, engineering, and operation of its next-generation Pre‑Trade Data platform. The role will consolidate three core systems into a single, scalable platform used by Traders, Trading Analytics, Quants, and Algo developers for curve management, pricing, analytics, and pre-deal decision-making. This hands-on leadership role requires a technologist with data science credibility, engineering expertise, and the ability to influence senior stakeholders across Trading, Risk, Analytics, and Technology. Key Responsibilities Define and execute the Pre‑Trade Data & Analytics strategy across core systems. Deliver a multi-year roadmap including ClickHouse migrations, metadata consolidation, common APIs, scraper consolidation, and platform resilience improvements. Rationalise, deduplicate, and govern curves across systems. Architect and oversee a Medallion-style platform using Python, React, ClickHouse, Kafka/event streaming, Azure/AWS, and C#/.NET. Remain hands-on with design, prototyping, code reviews, and architecture decisions. Lead engineers, data scientists, and platform leads across EMEA, fostering a cohesive culture. Collaborate with Traders, Quants, Algo teams, and Trading Analytics to prioritise delivery and communicate progress to leadership. Oversee system consolidation, cloud migration, data quality improvements, and legacy database decommissioning. Ensure production stability, high service standards, KPIs, and SLAs across regions. Required Experience Solid experience in data engineering, platform architecture, or distributed systems in trading or high-data environments. Hands-on Python experience and familiarity with modern frameworks; React for UI delivery. Experience with streaming/event-driven architectures (Kafka) and large-scale data processing; ClickHouse or similar highly desirable. C#/.NET experience beneficial for legacy systems. Knowledge of energy trading, commodities, or financial markets. Understanding of curves, market data, pricing models, algo workflows, and analytics platforms. Quantitative skills in statistical modelling, machine learning, or computational analytics. Experience leading multi-country engineering organisations and large-scale platform transformations. Strong stakeholder management, prioritisation, and delivery discipline in fast-paced trading environments. To find out more, please apply directly or connect with me on LinkedIn.