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.