Top Tech Jobs & Startup Jobs in London

Lead analytical data science for Wise’s customer support organization. Measure service quality, diagnose root causes, design metrics, evaluate interventions, and use experiments, causal inference, machine learning, NLP, and LLM techniques to improve customer outcomes. Partner with Product, Design, Operations, and Engineering to guide automation strategy, prioritize opportunities, and influence product and business decisions using customer, conversational, and operational data.

Own the strategy and roadmap for AI-powered fraud investigation automation. Lead discovery, prioritization, production rollout, evaluation, governance, monitoring, and continuous improvement. Partner with Engineering, Data Science, Design, Operations, Risk, and Compliance to combine deterministic logic, machine learning, GenAI, human oversight, and operational processes into scalable, safe, compliant fraud solutions.

Build and maintain Anaplan models supporting FP&A, capital, liquidity, and group viability forecasts. Manage Anaplan-Snowflake data pipelines, own data inputs and outputs, streamline forecasting workflows, optimize model performance, and translate complex financial requirements into scalable technical solutions. Support stress testing and going-concern assessments while collaborating with finance, accounting, reporting, and technology stakeholders.

Drive pricing-led growth through experiments, customer pricing comprehension measurement, segment economics, and cross-border and account pricing strategy. Partner across Product, Pricing, Design, Finance, Marketing, and Engineering to translate insights into decisions. Lead analytical roadmaps, build scalable data infrastructure with SQL and dbt, influence senior stakeholders, mentor analysts, and establish technical best practices.

Owns end-to-end prudential regulatory reporting for capital adequacy and liquidity returns. Reviews reports, analyzes variances and trends, monitors regulatory changes, and provides management insights. Leads reporting infrastructure enhancements, vendor implementations, data mapping, ETL, UAT, system deployments, documentation, and control design while managing cross-functional stakeholders and the reporting team.

Designs and owns Wise’s global product risk and compliance program for credit cards. Translates regulatory and card-scheme requirements for Product and Engineering teams, establishes controls and risk metrics, coordinates remediation, and reports program health to internal and external stakeholders. Leads regulatory, financial crime, and risk discussions while driving customer-focused improvements and supporting global regulatory initiatives.

Leads implementation and process improvement for Wise Platform verification. Maps complex workflows, identifies automation and efficiency opportunities, defines KPIs and dashboards, develops rollout plans, and coordinates cross-functional delivery across Product, Engineering, Analytics, Compliance, Risk, Operations, and partner teams. The role drives root-cause analysis, operational controls, migration of manual processes, launch readiness, monitoring, documentation, and measurable improvements across global partner-verification operations.

Build and scale backend systems for Wise’s recipient management experience. Responsibilities include developing distributed systems, designing and maintaining RESTful APIs, optimizing relational and non-relational databases, creating scalable schemas, and driving technical vision. Collaborate closely with product, design, and analytics teammates in an autonomous agile team while applying testing, code reviews, and best coding practices to solve customer problems.

Lead UX research for Wise’s Mitigation Platform, shaping platform strategy across teams, regions, and operational workflows. Define research priorities, select mixed methods, uncover shared and team-specific needs, and translate complex findings into actionable product decisions. Influence senior stakeholders, establish success metrics, mentor non-researchers, and guide the use of AI and LLM-powered workflows for agents. The role requires strong systems thinking, storytelling, research rigor, and comfort working embedded in ambiguous, fast-paced product environments.

Lead the design, scalability, and execution of Wise Europe's financial crime compliance framework for platform partnerships. Oversee correspondent banking partner onboarding, ongoing monitoring, product launches, risk mitigation, control effectiveness, and key risk indicators. Advise Product, Operations, AMLCO, senior leadership, regulators, and external partners on complex AML decisions. Communicate strategic risk insights to the Board, defend compliance standards, and coach compliance specialists and cross-functional teams.