Top Tech Jobs & Startup Jobs in London

Lead and build Wise's Risk Modelling ML engineering pillar: design a Model Factory and experimentation engine, implement model ops (retraining, drift detection, monitoring), hire and mentor senior ML engineers, set engineering standards, and partner with platform teams to safely scale hundreds of real-time financial crime models.

Own consumer logged-out and discovery surfaces, define global positioning and messaging hierarchy for send/receive/spend, lead localisation and research, drive GTM launches and awareness/conversion campaigns, and build metrics linking positioning to acquisition and onboarding.

Lead implementation and operation of the EU-tailored Enterprise Risk Management framework. Set partner onboarding and monitoring standards, run risk assessments and KRI monitoring, advise product teams, maintain 2LOD policies, support regulatory business plans, oversee control assurance and outsourcing oversight, present outcomes to committees and executives, and escalate incidents and issues as needed.

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 Data Scientist responsible for designing, implementing, and deploying liquidity management and risk models. Work with Treasury, engineering, and product teams to forecast supply and demand, optimise cash placement, prepare stress scenarios, and present model results to stakeholders to keep liquidity risk within appetite.

Manage London-timezone FX hedging and liquidity trades across Spot, Forwards and NDFs; lead and develop a small team; collaborate with data analysts, liquidity operations and banks to assess risk, optimise funding and reduce Treasury costs; support new currency/product launches; improve dealing strategies, controls and reporting; participate in Market Risk Committees.

Design, build, test and maintain high-throughput Java Spring Boot backend services on AWS. Build Kafka-based event-driven architectures, drive architecture and reliability, resolve performance and scalability issues, participate in on-call rotations, perform code reviews, mentor engineers, and collaborate with cross-functional teams to deliver pricing platform features.

Own and improve the end-to-end account registration and setup experience across web and mobile to increase conversion. Define the roadmap for a new team, iterate on UX and technical solutions, measure impact via conversion metrics, and collaborate with designers, researchers, engineers and analysts to deliver scalable, customer-focused onboarding.

Serve as principal governance advisor to regulated subsidiary Boards and Committees. Lead board and committee management, statutory filings, compliance monitoring, stakeholder engagement, governance framework maturity, group-wide projects (corporate transactions, AGMs, listing requirements), and support team development across a global subsidiary group.

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.