At a Glance
- Tasks: Dive into AI projects, analyse data, and help solve real business challenges.
- Company: Join Crown Agents Bank, a forward-thinking UK bank transforming payments in emerging markets.
- Benefits: Enjoy hybrid working, competitive salary, private medical insurance, and generous annual leave.
- Other info: Collaborative team culture with opportunities for learning and professional growth.
- Why this job: Kickstart your career in AI and make a tangible impact from day one.
- Qualifications: Recent graduates with a passion for AI and problem-solving are encouraged to apply.
The predicted salary is between 30000 - 40000 £ per year.
Crown Agents Bank is a vastly growing and regulated UK bank that connects emerging and frontier markets to the rest of the world, using FX and payments technology. We are transforming the way payments and FX move through emerging markets, reducing friction so that more money gets to those who need it. Emerging markets payments are usually challenging, expensive, unreliable and opaque. Our solutions help fix these pain points. Ultimately, we connect traditionally hard-to-reach regions to global financial infrastructure, giving access to the best prices and the fastest, most reliable settlement.
FX and cross-border payments are often complex and expensive, especially when operating in emerging markets. Crown Agents Bank (CAB) wraps its deep and trusted relationships and strength of network around innovative digital capabilities, and cross-border transaction banking solutions to enable fintech, corporates, governments, development organisations and banks to move money to, from, and across often hard-to-reach markets.
Role Purpose
The AI Analyst is an early-career role for a high-potential graduate with a strong interest in AI and a desire to apply it to real business problems from day one. The role sits within CAB’s AI Centre of Excellence (CoE) and will rotate across the breadth of CoE activity, including business analysis, AI adoption, prompt engineering, Power Platform automation, Copilot Studio agents, and data analysis.
Working under the guidance of the AI Implementation Lead and wider CoE team, the AI Analyst will contribute directly to the Bank’s AI delivery goals by helping progress the AI use case pipeline, supporting proof-of-concept and early delivery activities, and producing clear artefacts and updates that translate AI capability into practical business outcomes. The role is designed to build broad capability quickly while delivering tangible productivity, efficiency and insight benefits across the bank.
Role Responsibilities
- Strategic & Commercial Alignment
- Contribute ideas to improve the value case and practical viability of proposed AI use cases (benefits, feasibility, scalability, adoption considerations).
- Help gather stakeholder feedback and shape POC scope to ensure use cases demonstrate measurable value and are deliverable within constraints.
- Stay informed on relevant AI and industry trends and share insights to help position CoE approaches and tooling choices appropriately.
- Hands-On Delivery
- Build and deliver low-complexity automations and AI agents from the AI use case pipeline—starting with closely supervised work and progressing to increased independence as capability grows.
- Support solution delivery activities such as:
- data preparation, basic analysis and quality checks
- prompt iteration and testing
- user testing, defect triage and iterative improvement
- Contribute to the shared accelerator/library by documenting components, prompts, reusable flows, patterns and “how-to” notes to enable reuse and handover.
- Assist with creation and maintenance of core CoE artefacts (e.g., use case library, playbooks, guidance and reporting content) to support scale and consistency.
- Stakeholder Engagement & Communication
- Attend discovery sessions with business teams: capture requirements, confirm next steps, and follow up actions professionally.
- Act as a reliable point of contact for internal teams, maintaining clear and responsive communication.
- Prepare non-technical written updates and materials (briefings, slides, status reporting, short “what’s changed / what’s next” summaries).
- Support demos and workshops; over time, present prototypes and delivered solutions to end users and stakeholders to build confidence and adoption.
- Risk, Quality & Compliance
- Follow the CoE’s quality approach (peer review, testing and any gating/approval steps) on all work products.
- Apply CAB standards under supervision, including AI Policy, GDPR, data classification and information security requirements.
- Conduct quality checks on POC and delivery artefacts to ensure accuracy, completeness and alignment to agreed requirements.
- Identify delivery risks (e.g., data issues, limitations, control gaps) and escalate early; maintain clear records for transparency and traceability.
- Collaboration & Team Culture
- Work closely with the CoE team (automation analysts, engineers, adoption/literacy colleagues) through pairing/buddying, learning by observation and hands-on contribution.
- Contribute positively to team morale and ways of working; participate actively in meetings, brainstorming sessions, Lunch & Learns and knowledge sharing.
- Build relationships across the bank through CoE engagement activities (e.g., roadshows, champions network, showcases).
- Learning & Development
- Complete a structured onboarding pathway across Power Platform, Copilot Studio, prompt engineering, data analysis, and CAB AI tooling and policy.
- Achieve foundational certifications within the first 6–9 months (e.g., Microsoft PL‑900, AI‑900 and relevant follow-ons).
- Seek feedback regularly and act on it to develop technical capability, delivery discipline and stakeholder skills.
- Over 12–18 months, identify a potential specialism (automation, engineering, adoption, data) to support longer-term progression within the CoE.
Qualifications
Recent Bachelor’s degree (2:1 preferred) or Master’s degree in any discipline. All backgrounds welcome, what matters most is curiosity about AI and learning agility.
Experience
No prior professional experience required. Evidence of applied interest in AI, technology or problem-solving is strongly welcomed (e.g., projects, internships, hackathons, side work, automations or analysis).
Skills
- Genuine enthusiasm for AI and a demonstrable curiosity about how it can be applied to real business problems.
- Strong analytical and problem-solving mindset; able to break problems down and think logically about possible solutions.
- Demonstrates a “test and learn” mindset, comfortable experimenting, iterating and improving solutions quickly.
- Excellent written and verbal communication; able to explain ideas clearly and adapt to different audiences.
- Comfortable with Microsoft 365 (Word, Excel, PowerPoint, Teams, SharePoint) and confident in picking up new tools quickly.
- Familiarity with at least one AI tool at an end-user level (e.g. Microsoft Copilot, ChatGPT, Claude, Gemini) and the ability to describe what it does well and where it struggles.
- Well-organised, reliable and able to manage multiple small tasks in parallel.
- Openness to feedback, willingness to ask for help and a constructive attitude when things do not work first time.
Additional Information
- Hybrid working
- Contributory personal pension plan: - Minimum: Employee 2% and Employer 7%. Employer matches contributions in 1% increments to a maximum of: Employee 5% and Employer 10%
- Life Assurance – 4 times annual salary
- Group Income Protection
- Private Medical Insurance – this may include cover for partner and or children at company cost. Cover includes Optical, Dental and Audiology
- Discretionary Bonus
- Competitive Annual Leave
- 2 Volunteering Days
- Benefit Hub
AI Analyst in London employer: Crown Agents Bank
Crown Agents Bank is an exceptional employer that fosters a dynamic and inclusive work culture, particularly for the AI Analyst role within its innovative AI Centre of Excellence. Employees benefit from a structured onboarding process, ongoing learning opportunities, and a supportive environment that encourages collaboration and personal growth. With a strong focus on employee well-being, including hybrid working options and comprehensive benefits, CAB is dedicated to empowering its team members to make a meaningful impact in transforming financial services across emerging markets.
StudySmarter Expert Advice🤫
We think this is how you could land AI Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their AI initiatives and think about how your skills can contribute. Tailor your responses to show how you can help tackle their specific challenges.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our brand.
We think you need these skills to ace AI Analyst in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! Share any projects or experiences that highlight your curiosity and problem-solving skills. We want to see how you can apply AI to real business challenges.
Tailor Your Application:Make sure to customise your application to fit the role of AI Analyst. Highlight relevant skills and experiences that align with the job description. This shows us that you've done your homework and are genuinely interested in joining our team.
Keep It Clear and Concise:We appreciate clear communication, so keep your written application straightforward and to the point. Use bullet points where necessary and avoid jargon unless it's relevant. This will help us understand your ideas quickly and easily.
Apply Through Our Website:Don't forget to submit your application through our website! It's the best way for us to receive your details and ensures you're considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Crown Agents Bank
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and how they apply to real-world business problems. Crown Agents Bank is looking for someone who can contribute ideas to improve AI use cases, so be ready to discuss your thoughts on feasibility and scalability.
✨Showcase Your Problem-Solving Skills
Prepare examples from your studies or projects where you've tackled complex problems using analytical thinking. Highlight your ability to break down issues and come up with logical solutions, as this is key for the AI Analyst role.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You'll need to prepare non-technical updates and materials, so being able to adapt your communication style to different audiences will be crucial during the interview.
✨Be Ready to Collaborate
Crown Agents Bank values teamwork, so be prepared to discuss how you've worked with others in the past. Share experiences where you've contributed positively to team morale and engaged in knowledge sharing, as this will show you're a great fit for their culture.
