Head of Pre-Trade Data and Analytics
8 days ago
London
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.