At a Glance
- Tasks: Lead the adoption of Generative AI and ML to transform Treasury operations.
- Company: Join a forward-thinking financial institution focused on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and continuous learning.
- Why this job: Make a real impact by shaping the future of finance with cutting-edge technology.
- Qualifications: Leadership experience in banking and tech, with strong AI/ML expertise.
The predicted salary is between 80000 - 100000 £ per year.
Join us as a Treasury AI Engineering Lead. In this key role, you’ll lead the adoption and scaling of Generative AI and advanced machine learning (ML) within Treasury to transform our function into a predictive, real-time, and data-driven business partner. You’ll add real value by building and sharing your technical expertise, staying updated on innovations, and promoting knowledge across the team and the wider technical community. You’ll be playing a significant part in designing software and tools that align with the strategic vision and project objectives, ensuring they meet all the requirements through thorough research. We’ll look to you to deliver the highest quality solutions using automated unit, system, and integration testing.
As a Treasury AI Engineering Lead, you’ll be overseeing our strategic vision by researching and implementing emerging technologies, assessing opportunities and risks, and leading a team of engineers to address key priorities. You’ll also be keeping the innovation team and the wider technical audience informed by sharing your insights into the latest industry trends.
In addition, you’ll be:
- Designing and delivering 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.
The skills you’ll need:
We’re looking for someone with leadership experience in both banking and technology sectors, along with a deep awareness of the latest technology industry developments. Working closely with executives and stakeholders, we’ll look to you to have exceptional stakeholder management skills and the ability to influence and align diverse interests towards a shared goal. To succeed in this role, you’ll also need to excel as an innovation professional across the global innovation ecosystem.
In addition, you must have:
- 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.
Treasury AI Engineering Lead employer: NatWest Group
As a Principal Engineer in Economic Crime Services, you will thrive in a dynamic and innovative work culture that prioritises customer experience and engineering excellence. Our commitment to employee growth is evident through opportunities for senior stakeholder engagement and leadership development, all while working in a hybrid environment that promotes flexibility and collaboration. Join us to be part of a forward-thinking team dedicated to tackling economic crime with cutting-edge technology and solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Treasury AI Engineering Lead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI and ML projects. This is your chance to demonstrate your expertise and passion for the field, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application shines!
We think you need these skills to ace Treasury AI Engineering Lead
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 AI and how your background makes you the perfect fit for this role. Be sure to mention any relevant projects or innovations you've led.
Showcase Your Technical Skills:Since this role requires a deep understanding of programming languages and architecture design, make sure to include specific examples of your technical expertise. Mention any cloud-based analytics or MLOps experience you have!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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 treasury functions. Be ready to discuss specific use cases like liquidity forecasting or risk management, and how your experience aligns with these areas.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience in both banking and technology sectors. Think about times when you influenced stakeholders or led a team through a challenging project, and be ready to share those stories.
✨Communicate Clearly
Since this role requires bridging technical and business domains, practice explaining complex concepts in simple terms. You want to demonstrate that you can communicate effectively with both technical teams and non-technical stakeholders.
✨Emphasise Continuous Learning
This position values a commitment to continuous improvement. Be prepared to discuss how you stay updated on industry developments and how you foster a culture of innovation within your teams. Share any recent courses or certifications you've completed related to AI or ML.
