Top Data & Analytics Jobs in London

Lead development and tuning of transaction monitoring controls for Wise Platform. Perform exploratory data analysis, create monitoring rules and thresholds, build Fincrime KRIs and dashboards, partner with product, PRM, KYC and operations to identify and mitigate partner and transactional risks.

Lead a Treasury Global Liquidity data engineering team to design and deliver real-time liquidity observability, scalable event-driven systems, automated investment and risk tooling, and analytics/ML collaboration. Define technical strategy, partner with product and stakeholders, mentor engineers, and ensure resilient, high-performance data platforms that optimise cash management and customer experience.

Lead pricing analytics for Wise Platform: define and investigate pricing and cost problems, analyze product economics and P&L, improve data quality and allocation methodologies, influence pricing model enhancements, and surface actionable insights for profitability and growth.

Partner with financial crime product teams to build and monitor screening controls. Own metrics, run discovery analyses, build and maintain data pipelines, create reports and visualisations, and translate insights into product changes that balance risk mitigation with customer experience.

Lead data architecture and resiliency for marketing data pipelines. Build scalable Airflow/dbt workflows, productionize CDP datasets, own MarTech integrations, bridge engineering and analytics, and mentor engineers to improve reliability and observability for high-volume streaming and batch systems.

Lead design and productionization of scalable streaming and batch data pipelines (Python, Kafka, Trino, Iceberg). Build unified customer datasets using Airflow and dbt, own MarTech integrations, set data architecture and reliability standards, partner with analytics and marketing, and mentor engineers.

Lead analytics for Wise Business operations: drive data-informed product decisions, set KPIs, build automated pipelines and dashboards, perform high-quality analysis, and own cross-team projects to reduce servicing friction and improve retention.

Lead product analytics for high-volume international transfers, driving insights on verification, service quality, and predictability. Conduct causal analyses and A/B tests, set KPIs with product teams, track impact, and recommend product and support strategies to improve retention, conversion, and operational efficiency.

Lead analytics for business onboarding: define KPIs, run funnel analyses and experiments, build production analytics (dbt/Airflow/dashboards), design LLM-ready data foundations, and partner with PMs, engineers and designers to reduce friction and improve conversion while managing risk.

Lead product analytics for Wise Business Multi-User Access: derive insights, define KPIs, run A/B tests, build automated data pipelines and dashboards, and drive cross-team product decisions including fraud, chargeback risk, and pricing.