Top Data & Analytics Jobs in London

Lead credit analytics for Wise's SME credit products: validate risk models, build forward-looking loss and delinquency forecasts, define data strategy, create dashboards and pipelines, inform market launches, and hire and coach a team of analysts.

Own and measure Cloud Platform metrics end-to-end, define targets and coverage, build dashboards and frameworks, enable data-informed decisions, and influence engineering leadership to improve reliability, cost, and productivity.

The Analytics Manager will lead marketing measurement strategy, manage a team of analysts, and optimize marketing effectiveness through data analysis and collaboration.

Lead analytics for the Financial Crime Platform, partner with product and engineering to build metrics, pipelines, visualisations, and features for fraud/AML risk models, drive discovery and data-driven decisions balancing risk and customer experience.

You'll partner with senior leaders to define and improve reliability metrics, influencing decisions based on data insights and system performance.

Drive analytics for Payment Operations to improve payment quality and efficiency. Build attribution models for quality lapses, incorporate AI into review processes, expose and visualise payment data, create reports and pipelines, track KPIs, and collaborate with senior stakeholders to turn insights into operational improvements.

Lead analytics for customer operations: build capacity planning and forecasting models, own data pipelines, develop predictive and causal inference analyses, track KPIs, standardise processes, and partner with operations, WFM, quality, and training to drive data-driven improvements.

Lead analysis of operational data to support decision-making. Build dashboards and reports, partner with operations stakeholders to identify process improvements, monitor KPIs, and inform strategic initiatives.

Lead analytics work for FinCrime product: size opportunities, model impact on risk/friction/cost, design scalable data models and platforms, build robust pipelines and decision-ready dashboards, create self-serve data assets, partner with Product/Engineering/Ops/Compliance, and translate stakeholder questions into analytical plans and recommendations.

Lead CRM analytics for Personal and Business segments: design measurement frameworks, run campaign and lifecycle analyses, apply A/B and incrementality testing, build segmentation models, maintain dashboards, ensure data quality, and partner with CRM, Product, and Data teams to optimise customer engagement and retention.