Chief Engineer

• Shape the technical strategy, architecture and delivery of platforms that help protect customers from financial crime.
• Lead modernisation across investigation, analytics, machine learning and agentic capabilities in a complex technology environment.
• Influence engineering at enterprise scale through cloud-native architecture, automation, data products and world-class engineering practices.

The Economic Crime Engineering team delivers the platforms, architecture and engineering capabilities that support the Bank's ability to identify, assess and respond to financial crime and fraud threats. The team partners across engineering, data, analytics, risk, security and business functions to build scalable, secure and resilient solutions.

In this influential technical leadership role, you will:

• Define the technology roadmap, target-state architecture and engineering guardrails for Economic Crime Platforms.
• Lead the strategy, architecture and delivery of investigation, machine learning, agentic and analytics platforms.
• Guide the development of trusted data products, engineering intelligence and reusable platform capabilities.
• Champion cloud-native architecture, microservices, application programming interfaces, automation and infrastructure as code.
• Embed security, data quality, privacy, lineage, observability and risk management throughout the engineering lifecycle.
• Strengthen engineering excellence through DevSecOps, DataOps, automated testing, continuous delivery and reliability practices.
• Partner with senior stakeholders across Technology, Architecture, Risk, Security and Service Management to translate complex needs into practical outcomes.
• Mentor engineers, guide complex technical decisions and uplift engineering capability across the platform.

You are an accomplished engineering leader who combines deep technical expertise with sound architectural judgement and enterprise influence. You can create clarity in complex environments, connect technology decisions to customer and risk outcomes, and bring people together around a practical technical direction.

Experience across several of the following areas will help you succeed:

• Leading the architecture and delivery of complex, enterprise-scale engineering or data platforms.
• Designing cloud-native solutions using AWS, containers, serverless technologies and infrastructure as code.
• Applying modern data architecture patterns such as lakehouse platforms, data mesh and domain-aligned data products.
• Delivering reliable ingestion, integration, application programming interface, workflow or decision-engine capabilities.
• Embedding secure engineering, data governance, privacy, observability and operational resilience within regulated environments.
• Enabling machine learning, automation, generative artificial intelligence or agentic use cases through trusted platform capabilities.
• Influencing senior stakeholders and translating business, risk and technology priorities into executable engineering strategies.
• Coaching technical leaders and building collaborative, inclusive engineering cultures.