Chief Engineer - Risk and Finance Technology

About the role

The Chief Engineer leads engineering excellence and modernisation across Risk and Finance Technology, working hands-on with engineers and technical leaders. The role partners with Crew Technology Leads across a portfolio of internally built and vendor-supported platforms, providing technical coaching, championing DevSecOps and automation, and helping teams improve the quality, maintainability and resilience of their technology assets. It works closely with the Chief Data Office to align engineering and data priorities.

Key responsibilities

• Partner with Crew Technology Leads to solve complex engineering challenges and accelerate modernisation.
• Provide hands-on technical leadership and coaching to engineers, Principal Engineers and engineering leaders.
• Establish and uplift engineering standards, practices and ways of working.
• Lead the reduction of technical debt and modernise legacy platforms and applications.
• Drive excellence across software development, platform engineering, testing, automation, observability and operational resilience.
• Champion DevSecOps, CI/CD, infrastructure automation and AI-assisted engineering.
• Guide teams through complex technical decisions and implement AI-assisted engineering through repeatable playbooks.
• Partner with the Chief Data Office and data platform teams to improve data accessibility and readiness for analytics and AI.
• Mentor engineers, coach teams and build engineering communities of practice.
• Translate complex technical issues into clear risks, trade-offs and decisions for senior stakeholders.

Required profile

• Experience in large-scale enterprise environments with a track record of building internally developed applications.
• Experience with modern software delivery, secure design, CI/CD and engineering quality at scale.
• Comfortable influencing senior stakeholders and making pragmatic trade-offs.
• Curious about the role of AI, GenAI and agentic platforms.
• Technical depth to work directly with engineers and guide implementation.
• Experience in complex or regulated environments, balancing modernisation with risk, control and operations.

Desirable experience

• Knowledge of vendor application ecosystems and automation around them.
• Influencing enterprise data strategy from the consumer's perspective.
• Experience in Risk, Finance, banking or financial services technology.
• Leading engineering transformation across multiple teams or crews.