Treasury AI Architect & Engineering Lead

NatWest Group; Greater London; On-site; GBP 100,000 - 150,000; Full time

Job summary

NatWest Group is seeking a Treasury AI Engineering Lead to drive the adoption and scaling of Generative AI and ML within Treasury, transforming it into a data-driven business partner. You will design software and tools aligned with strategy, and ensure quality through automated testing.

You will lead a team of engineers, research emerging technologies, and share insights with the innovation community to maintain cutting-edge capabilities across the function.

Qualifications

• Proven experience in AI or ML engineering, MLOps, or cloud-based analytics, ideally within financial services.
• Excellent communication and stakeholder management skills, with the ability to bridge technical and business domains.
• A collaborative, adaptable approach and commitment to continuous learning and improvement.
• A deep understanding of a wide range of programming languages and technical domains.
• Experience of architecture design principles across bank-wide production.

Responsibilities

• Design AI and ML solutions for Treasury use cases, such as liquidity forecasting, capital optimisation, and risk management.
• Overseeing the migration to secure, scalable cloud-based environments, enabling experimentation and prototyping.
• Championing robust data strategy and governance, ensuring quality, accessibility, and security.
• Fostering an agile, innovative culture and mentoring Treasury colleagues in AI engineering and responsible AI practices.

Skills

AI/ML engineering

MLOps

Cloud analytics

Leadership

Stakeholder management

Communication

Job description

NatWest Group is seeking a Treasury AI Engineering Lead to drive the adoption and scaling of Generative AI and ML within Treasury, transforming it into a data-driven business partner. You will design software and tools aligned with strategy, and ensure quality through automated testing.

You will lead a team of engineers, research emerging technologies, and share insights with the innovation community to maintain cutting-edge capabilities across the function.