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- Tasks: Lead AI and machine learning initiatives to transform Treasury into a data-driven powerhouse.
- Company: Join a forward-thinking financial institution at the forefront of technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of an innovative team that values collaboration and continuous learning.
- Why this job: Make a real impact by shaping the future of finance with cutting-edge AI solutions.
- Qualifications: Leadership experience in banking and tech, with a strong background in AI and ML.
The predicted salary is between 80000 - 100000 ÂŁ per year.
Responsibilities
- Lead the adoption and scaling of Generative AI and advanced machine learning within Treasury to transform the function into a predictive, real‑time, data‑driven business partner.
- Add real value by building and sharing technical expertise, staying updated on innovations, and promoting knowledge across the team and the wider technical community.
- Play a significant part in designing software and tools that align with the strategic vision and project objectives, ensuring they meet all requirements through thorough research.
- Deliver the highest quality solutions using automated unit, system, and integration testing.
- Oversee the strategic vision by researching and implementing emerging technologies, assessing opportunities and risks, and leading a team of engineers to address key priorities.
- Design and deliver AI and ML solutions for Treasury use cases such as liquidity forecasting, capital optimisation, and risk management.
- Oversee the migration to secure, scalable cloud‑based environments, enabling experimentation and prototyping.
- Champion a robust data strategy and governance, ensuring quality, accessibility, and security.
- Foster an agile, innovative culture and mentor Treasury colleagues in AI engineering and responsible AI practices.
Qualifications
- Leadership experience in both banking and technology sectors.
- Deep awareness of the latest technology industry developments.
- Exceptional stakeholder‑management skills, with the ability to influence and align diverse interests toward a shared goal.
- Innovation professional across the global innovation ecosystem.
- Proven experience in AI, 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.
- Collaborative, adaptable approach and commitment to continuous learning and improvement.
- Deep understanding of a wide range of programming languages and technical domains.
- Experience with architecture‑design principles across bank‑wide production.
Treasury AI Engineering Lead in London employer: NatWest Group
Contact Detail:
NatWest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Treasury AI Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and tech sectors, especially those who are already in AI and ML roles. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI and ML projects, especially those relevant to Treasury use cases. This will not only demonstrate your expertise but also make you stand out when we’re looking for candidates.
✨Tip Number 3
Stay updated on the latest tech trends! Follow industry news and innovations in AI and machine learning. Being knowledgeable about emerging technologies will help you impress during interviews and show that you're passionate about the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our innovative culture.
We think you need these skills to ace Treasury AI Engineering Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Treasury AI Engineering Lead role. Highlight your leadership experience in banking and technology, and don’t forget to showcase your expertise in AI and ML engineering!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about transforming Treasury functions with AI and how your background makes you the perfect fit. Keep it engaging and personal – we want to see your personality!
Showcase Your Technical Skills: Since this role involves a lot of technical know-how, make sure to list out your programming languages and any relevant projects. We love seeing real examples of your work, especially if they relate to AI, ML, or cloud-based solutions!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at NatWest Group
✨Know Your AI and ML Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially as they relate to finance. Be ready to discuss specific technologies and tools you've used, and how they can be applied to Treasury functions like liquidity forecasting and risk management.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of your leadership experience. Talk about how you've influenced stakeholders and aligned diverse interests towards a common goal, especially in tech and banking environments.
✨Demonstrate Your Problem-Solving Abilities
Think of real-world scenarios where you've tackled challenges using AI or ML solutions. Be ready to explain your thought process, the research you conducted, and how you ensured quality and security in your projects.
✨Emphasise Collaboration and Continuous Learning
This role requires a collaborative approach, so highlight your experiences working with cross-functional teams. Also, mention how you stay updated on industry developments and your commitment to mentoring others in AI engineering practices.