Top Tech Jobs & Startup Jobs in London

Build and scale financial products within Wise’s Grow squad. Engineers will either architect a high-availability yield engine managing billions in assets or create brokerage and investment infrastructure from scratch. Responsibilities include designing distributed systems, developing production web applications, collaborating with product and design teams, breaking complex work into milestones, ensuring data integrity and performance, and delivering customer-focused features through clean, well-tested code.

Owns operational relationships and revenue retention for Tier 1 payment-platform partners across the UK and Germany. The role leads executive stakeholder management, QBRs, incident response, systemic problem solving, roadmap influence, operational metrics, and scalable playbook development. It requires advanced data analysis, technical fluency with APIs and payment rails, professional German proficiency, and experience managing major enterprise relationships in payments, fintech, or financial services.

Leads analytics for Wise’s Business Account Squad, managing a team of 5+ analysts embedded in product teams. Partners with Product, Engineering, and Design to identify opportunities, define KPIs, evaluate product impact, and guide roadmap decisions. Owns the analytics data strategy, develops scalable data tools, communicates progress, and drives action. Responsibilities also include coaching, performance management, hiring, capacity planning, and stakeholder management.

Lead data analysis for Wise Business Operations, deriving insights that shape strategy and product decisions. Define KPIs, build dashboards and automated data pipelines, identify high-impact opportunities, and lead cross-team analysis of servicing friction and customer retention. The role requires strong stakeholder influence, clear communication, independent ownership, and the ability to turn complex data into actionable recommendations.

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.

Leads a global sanctions operations organization of five senior managers and over 500 agents. Owns service delivery, workforce planning, capacity forecasting, performance management, hiring, process controls, team capability development, and cross-functional initiatives. Partners with Compliance, Product, Analytics, and Engineering to ensure effective oversight, consistent performance, and timely customer responses. Acts as a subject matter expert for sanctions processes and tooling.

Build and operate scalable backend and frontend systems that prevent account takeovers, scams, and financial crime. Own end-to-end projects, develop real-time detection controls, improve automation, and protect customer funds. The role is approximately 80% backend and 20% frontend, requiring Java/JVM and Spring expertise, scalable system design, CI/CD, database optimization, testing, and strong cross-functional collaboration.

Build scalable AML detection systems and controls for identifying money laundering and terrorist financing risks. Own large projects, technical roadmaps, and delivery while collaborating with engineers, product managers, data scientists, analysts, and AML experts. Design distributed, reliable, secure, observable services; influence product decisions; improve technical quality; and mentor engineers. The primary technology stack includes Java, Spring Boot, and Kafka, with distributed and data-intensive processing at scale.

Lead data science initiatives for KYC and customer onboarding, developing and managing machine learning systems for document verification. Responsibilities include creating image and tabular datasets, iterating on deep learning models, optimizing model performance, maintaining Python code, researching fraud prevention methods, collaborating with stakeholders, and mentoring junior data scientists.

Staff Backend Engineer responsible for designing and leading scalable Java and Spring Boot services powering global KYC and onboarding verification. The role drives architecture, reliability, automation, performance, and technical strategy; mentors engineers; builds internal agent tools; and partners with product and design. Responsibilities include distributed system design, technical initiative leadership, code reviews, and knowledge sharing. The position requires extensive Java experience, database expertise, strong system design, and security awareness, with financial or KYC experience preferred.