Top Product Management Jobs in London

Lead product analytics for financial crime and AML prevention. The role develops metrics, dashboards, risk and customer-experience frameworks, and analytical solutions to detect and mitigate financial crime. It partners with product managers, designers, data scientists, engineers, and operations teams to identify opportunities, recommend features, rules, and models, and turn complex data into actionable decisions.

Own the Wise Platform API access, security, webhook infrastructure, and tooling roadmap. Partner with engineering, security, compliance, support, and enterprise customers to improve authentication, reliability, observability, diagnostics, and self-service troubleshooting. Define metrics and deliver platform improvements that reduce incidents, support demand, authentication failures, and resolution times while strengthening security and enabling scalable enterprise integrations.

Leads product analytics for Wise Platform’s Online Platforms vertical, owning growth and performance metrics, opportunity sizing, product discovery, and strategic recommendations. Builds the analytics function, data foundations, reporting, and operating model while managing and developing product analysts. Partners with product, engineering, operations, and commercial leaders to influence roadmaps, prioritize opportunities, and drive measurable business impact.

Lead product analytics strategy for Wise’s Global Send Experience Squad. Identify customer needs, market opportunities, growth opportunities, and product priorities across international money transfers. Partner with Product, Design, and Engineering; guide discovery and evidence-based decisions; analyze customer behavior, experimentation, and causal impacts; and coach senior analysts. Remain hands-on with high-impact problems while communicating insights and influencing senior stakeholders to improve customer experience and grow the transfer business.

Analyze transaction, event, and case data to identify fraud-control gaps, anomalies, and root causes. Build detection rules and features, define fraud KPIs, model risk for new market launches, and recommend prioritized actions. Partner with product managers, data scientists, operations, investigators, compliance, and engineering teams to improve fraud detection, customer experience, and operational outcomes.

Lead product analytics for customer onboarding and account access. Derive insights from data, guide product decisions, partner with product managers, engineers, and designers, and identify opportunities to improve customer experience while preventing fraud. Build data pipelines, dashboards, and KPI reporting systems; communicate findings across teams; and explore AI-driven automation and machine learning techniques to improve analytics and generate insights.

Lead product analytics for Wise’s Send tribe, focusing on verification, transfer predictability, service quality, customer retention, and growth. Analyze customer problems, define KPIs, conduct A/B tests and causal analyses, track product impact, and guide prioritization with Product Managers and stakeholders. The role also supports scaling service operations, improving customer journeys, and identifying opportunities through SQL and Python analysis, with optional use of Airflow, dbt, Looker, and predictive modeling.

Lead product analytics for Wise’s Business Account Management Team. Derive insights, define KPIs, guide product strategy, evaluate opportunities, improve A/B testing, and build automated data pipelines and dashboards. Own complex cross-team analyses involving fraud, chargeback risk, pricing, and product decisions. Communicate findings clearly, influence stakeholders, and enable fast, data-driven decision-making.

Lead product analytics for Wise’s business onboarding experience. Own KPI frameworks, conduct funnel and cohort analysis, lead A/B testing, build dashboards and governed data products, and recommend product improvements that balance conversion, customer experience, operational efficiency, and risk. Develop LLM-ready data foundations with clear entities, schemas, metadata, documentation, and governance while partnering with product managers, engineers, designers, and verification teams.

Lead product strategy and execution for a complex Wise Platform banking product area. Define vision, roadmap, priorities, metrics, and measurable outcomes while balancing customer, commercial, technical, regulatory, and operational needs. Partner with banks, Engineering, Design, Analytics, Sales, Delivery, Compliance, and Operations to deliver scalable payments products. Represent the product with enterprise partners, resolve cross-team dependencies, and mentor other Product Managers.