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RBS

Treasury AI Engineering Lead

London
Posted about 19 hours ago
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Join us as an 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.

What you'll do

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

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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.

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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

Hours

35

Job Posting Closing Date

Job Posting Closing Date is not yet published.

Ways of Working

Hybrid

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Skills

Generative AI
Machine Learning
MLOps
Cloud-based Analytics
Liquidity Forecasting
Capital Optimisation
Risk Management
Data Strategy
Data Governance
Stakeholder Management
Architecture Design
Agile Methodology
Software Engineering
Financial Services
Leadership

Location

London, England, United Kingdom

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