Senior AI Analyst at Crown Agents… · London

companyDescription 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. jobDescription The Senior AI Analyst plays a key role in advancing CAB’s AI initiatives as a central member of the AI Centre of Excellence (CoE), collaborating with the COO Senior Leadership Team, and cross-functional stakeholders across the Bank. This is a ‘go-to’ role embedded in the organisation’s AI delivery; combining hands-on solution development with stakeholder engagement and adoption. The Senior AI Analyst will own AI initiatives end-to-end, supporting the identification and development of use cases, contributing to proof-of-concept delivery, and translating AI capabilities into practical, scalable business solutions. The role also contributes to the development of core AI artefacts and frameworks, while collaborating with Technology, Architecture, Risk, Legal and other functions to ensure solutions are delivered responsibly and aligned with CAB’s standards. Role Responsibilities Strategic & Commercial Alignment: Translate business problems into clear AI use cases balancing value, feasibility, risk and adoption potential Contribute to shaping and prioritising the AI use case pipeline and support development of business cases and value articulation Identify opportunities to improve AI tooling and approach, by staying informed on relevant AI and industry trends and share insights to help position CoE approaches and tooling choices appropriately. Identify opportunities to scale or repurpose solutions across multiple teams to maximise return on investment Hands-On Delivery: Build deeper technical capability across AI tooling, automation, and data, progressing from solution delivery into solution design and architecture Take ownership of developing expertise in one or more areas (e.g. automation, AI engineering, data, or adoption), contributing to the CoE’s overall capability mix Continue structured development across Power Platform, Copilot Studio, prompt engineering, and data concepts, moving from applied use to best practice design Maintain and extend relevant certifications (e.g. Microsoft AI/Power Platform certifications), supported by CAB Actively share knowledge through internal sessions, playbooks, and coaching of junior team members Contribute to development of CoE standards, templates and guidance, shaping how AI is delivered across the bank Seek and act on feedback to continuously improve technical depth, delivery quality and stakeholder effectiveness Stakeholder Engagement & Communication: Act as a primary point of contact for stakeholders on assigned initiatives, building trusted working relationships Lead discovery sessions to shape problem statements, define requirements and challenge assumptions where needed Translate technical concepts into clear, practical outputs for non-technical audiences · Present demos and solutions confidently, articulating value, limitations and next steps Drive adoption by working with stakeholders to embed solutions into day-to-day processes and workflows Support senior stakeholders with insight, analysis and recommendations to inform decision-making Risk, Quality & Compliance: Ensure solutions align with AI Policy and data standards Apply structured delivery and quality controls Identify and mitigate risks early Maintain clear documentation and audit trails Collaboration & Team Culture Collaborate with CoE colleagues to deliver integrated, high-quality solutions Provide informal coaching and guidance to junior analysts and graduates, supporting their development Contribute to knowledge sharing and continuous improvement across the CoE: Build strong relationships across the organisation to support AI adoption and community building Take initiative in improving team ways of working, tools or processes where opportunities are identified Learning & Development: Build deeper technical capability across AI tooling, automation, and data, progressing from solution delivery into solution design and architecture Take ownership of developing expertise in one or more areas (e.g. automation, AI engineering, data, or adoption), contributing to the CoE’s overall capability mix Continue structured development across Power Platform, Copilot Studio, prompt engineering, and data concepts, moving from applied use to best practice design Maintain and extend relevant certifications (e.g. Microsoft AI/Power Platform certifications), supported by CAB Actively share knowledge through internal sessions, playbooks, and coaching of junior team members Contribute to development of CoE standards, templates and guidance, shaping how AI is delivered across the bank Seek and act on feedback to continuously improve technical depth, delivery quality and stakeholder effectiveness 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 2–4 years’ experience in a professional role (e.g. consulting, technology, operations, data or transformation) Demonstrated experience contributing to or delivering projects, ideally involving data, automation or technology-enabled change Exposure to AI tools, analytics or digital solutions in a practical context is advantageous Skills Technical Ability – Applies AI tools independently to deliver solutions Strategic & Commercial Mindset – Links AI work to business outcomes Communication – Communicates clearly and builds stakeholder trust Influence – Persuades stakeholders to adopt solutions Risk Management – Delivers compliant, high-quality outputs Teamwork – Contributes to team success and supports others Career Development – Actively develops capability EDI – Promotes inclusive behaviours additionalInformation 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