Data Analyst – Finance (Hybrid, London)

About the role

This position sits within a leading banking client’s Digital Finance Team, supporting a strategic Liquidity Data Programme that underpins regulatory reporting and balance‑sheet management. The role is hybrid, requiring two days a week on site in London, and will be employed via an umbrella arrangement.

Key responsibilities

• Analyse and validate large, complex data sets across multiple systems.
• Write SQL queries to extract, reconcile and interrogate data.
• Translate business requirements into clear data and functional specifications.
• Support data mapping, lineage and target‑state design.
• Design and execute test scenarios and data‑validation checks.
• Facilitate UAT and support implementation activities.
• Collaborate with stakeholders across Finance, Risk, Treasury and Technology.

Required profile

• Experience working in a finance or regulatory environment.
• Domain knowledge of liquidity, treasury and regulatory reporting.
• Strong data‑analysis capabilities with complex data sets.
• Proven ability to manage and communicate with cross‑functional stakeholders.

Required skills

• SQL
• Data analysis
• Data mapping and lineage
• Data validation and testing
• Exposure to AI/advanced analytics techniques (e.g., machine learning)