Senior Analyst, AI Solutions

Headquartered in Tokyo, Sumitomo Mitsui Banking Corporation (SMBC) is a leading global financial institution and a core member of Sumitomo Mitsui Financial Group (SMBC Group). Built upon our rich Japanese heritage since 1876, we put our customers first and provide seamless access to, from and within the Asia Pacific region.   SMBC is one of the largest Japanese banks by assets and maintain strong credit ratings across our global integrated network.  We work closely as one SMBC Group to offer personal, corporate and investment banking services to meet the needs of our customers.

With sustainability embedded within our strategy and operations, we are committed to creating a society in which today’s generation can enjoy economic prosperity and well-being, and pass it on to future generations.

The Role 

The Business Analyst will support the identification, design and delivery of AI and Generative AI initiatives across the Bank. The role focuses on understanding business needs, shaping practical solutions and working with business, technology and control teams to deliver measurable business outcomes. 

This is a business-led AI transformation role. The successful candidate will combine strong problem solving, business analysis and stakeholder engagement with emerging AI and automation technologies. The role does not require a software engineering background, but candidates should be comfortable learning and working with modern AI and digital tools. 

Key Responsibilities 

1. Business Requirements & Use Case Development 

1. 1. Partner with business teams to understand processes, pain points and opportunities where AI or automation can create value. 
   2. Assess expected business value, feasibility, user impact and success measures for proposed initiatives. 

2. AI Solution Design & Delivery 

1. Help shape practical AI and Generative AI solutions, including copilots, knowledge assistants, workflow automation, document intelligence and decision-support use cases. 
2. Work with users and delivery teams to develop prototypes and pilots, gather feedback and refine solutions before wider rollout. 
3. Support prompt design and configuration of tools such as Microsoft Copilot Studio and Power Automate where relevant to the use case. 
4. Ensure the solution remains focused on business outcomes, usability and adoption. 

3. Collaboration with Technology & Partners 

1. Act as the functional bridge between business stakeholders and technology teams throughout solution delivery. 
2. Work with internal technology, data and platform teams, as well as external vendors, to support implementation and integration into existing business processes. 

4. Testing, Adoption & Operational Readiness 

1. Capture user feedback, track issues and work with delivery teams to ensure agreed requirements are met. 
2. Prepare business and functional documentation, user guidance and handover materials to support adoption and ongoing operations. 

5. Governance & Responsible AI 

1. Ensure business use cases and solutions consider security, data governance, operational risk and Responsible AI requirements. 
2. Work with risk, compliance, security and governance teams to identify required controls and support appropriate approvals. 
3. Maintain clear documentation and traceability from business requirements through testing and implementation. 

Qualifications & Profile 

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Information Technology, Business Analytics or a related discipline. 
• Fresh graduates and early-career candidates are encouraged to apply. Relevant university projects, internships, hackathons or practical AI and digital transformation experience will be valued. 
• Strong analytical thinking, problem solving and ability to structure ambiguous business problems. 
• Practical experience with LLM-based applications (RAG, copilots, automation, knowledge assistants), Prompt engineering and model evaluation and AI solution prototyping and deployment on enterprise platforms (e.g., Azure OpenAI, AWS, or similar)
• Comfortable working with business and technology stakeholders and translating needs between the two. 
• Good written and verbal communication skills, with attention to detail and documentation. 

Preferred 

• Exposure to Microsoft 365, Copilot Studio, Power Automate, SharePoint or similar AI and automation platforms. 
• Basic familiarity with data, APIs or programming through coursework or projects is useful but not essential. 
• Interest in banking, financial services and transformation within a regulated enterprise environment. 
• Awareness of Responsible AI, data governance, security or risk management concepts. 

Key Competencies 

• Structured problem solving and system thinking
• Curiosity and willingness to learn emerging technologies 
• Teamwork and collaboration
• Quality and attention to detail
• Stakeholder communication and collaboration

What Success Looks Like 

The successful candidate will be able to take a business problem from initial discovery through requirements, solution design and testing, while working effectively across business and technology teams and keeping the focus on user value, adoption and responsible delivery.