Finance AI & Digital Transformation Analyst (1 Year Contract)

OCBC; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

Bank of Singapore is seeking a Finance Change Management professional to drive AI, data, digital and automation initiatives within Finance. You will work with Finance users, Technology teams, Data Office and external vendors to improve operational efficiency and data-driven decision making.

The role focuses on identifying finance problems suitable for AI solutions, documenting requirements, supporting pilots, and enabling adoption while ensuring confidentiality and control discipline across the

Qualifications

• Bachelor’s degree in Finance, Accounting, Business, Information Systems, Data Analytics, Computer Science, Engineering or related discipline.
• Relevant certifications in business analysis, process improvement, Power BI, Power Platform, data analytics or AI are advantageous.

Responsibilities

• Assist in identifying Finance activities and business problems addressable by AI, Microsoft 365 Copilot, workflow automation, and analytics.
• Document current and future Finance processes, identify manual activities, and suggest simplifications or automations.
• Develop user guides, training content and participate in adoption sessions to enable Finance users.
• Coordinate with stakeholders and support change initiatives across Finance, Technology, and Data Office.

Skills

Finance transformation

Business analysis

Change management

Data analytics

AI adoption

Communication

Stakeholder management

Ambiguity tolerance

Attention to detail

Team collaboration

Education

Bachelor’s degree in Finance, Accounting, Business, IS/CS/Engineering

Tools

Power BI

Power Platform

Data analytics tools

AI tools

Job description

Bank of Singapore opens doors to new opportunities.

At Bank of Singapore, we are constantly on the lookout for exceptional individuals to join our team. We promote a culture of openness, teamwork and fairness. Most importantly, we invest in our people through our programmes that develop them on both professional and personal levels. Besides attractive remuneration packages, we offer non-financial benefits and opportunities to develop your potential within OCBC Group’s global network of subsidiaries and offices. If you have passion, drive and the will to succeed, rise to the challenge today!

Be part of the Finance team driving transformation in identifying, evaluating and implementing practical AI, data, digital and automation initiatives across Finance. The role will report to the Head of Finance Change Management and collaborate with Finance users, Technology teams, Data Office and external vendors to improve operational efficiency, strengthen user productivity and support data-driven decision-making.

AI and digital initiatives

• Assist in identifying Finance activities and business problems that may be addressed through tools such as generative AI, Microsoft 365 Copilot, workflow automation, digital tools or analytics.
• Research and conduct structured assessments of relevant AI and digital solutions, including their expected benefits, feasibility, limitations and implementation considerations.
• Support proofs of concept and initiate pilot implementations for new solutions, document outcomes and recommendations for management consideration.
• Maintain a register of Finance AI and digital use cases, including status, owners, dependencies and expected benefits.

Business analysis and process improvement

• Gather, analyse and document business requirements, user stories, process flows and acceptance criteria.
• Document current-state and future-state Finance processes and identify manual activities, duplicated effort, control gaps and opportunities for simplification or automation.
• Facilitate working sessions with Finance users and support the implementation of agreed process and workflow improvements.
• Focus on practical improvement opportunities across areas such as financial and management reporting, reconciliations, regulatory reporting, month-end activities, expense management and Finance testing.

AI adoption and user enablement

• Support responsible adoption of Microsoft 365 Copilot and other approved AI tools across Finance.
• Develop practical user guides, reusable prompts, demonstration materials and training content for Finance users.
• Coordinate sharing sessions, use-case clinics and feedback collection, and assist in monitoring adoption and usage trends.
• Act as a Finance AI and digital champion while reinforcing applicable confidentiality, data protection and responsible-use requirements.

Requirements:

Academic background and professional qualifications

• Bachelor’s degree in Finance, Accounting, Business, Information Systems, Data Analytics, Computer Science, Engineering or a related discipline.
• Relevant certifications in business analysis, process improvement, Power BI, Power Platform, data analytics or AI are advantageous.

Professional experience

• Approximately 4 to 6 years of relevant experience in financial services, participating in Finance transformation, business analysis or technology-enabled change.
• Experience in business-analysis, process-mapping, workshop-facilitation and documentation.
• Knowledge in Finance processes such as reporting, reconciliations, controls, planning, forecasting, regulatory reporting, product accounting or cost management is preferred.
• Experience supporting digital, automation, analytics or AI initiatives from use-case assessment through testing and implementation is advantageous.
• Ability to translate analysis into clear recommendations, management presentations and actionable delivery requirements.

Personal qualities

• Curious and willing to learn new technologies, with a practical and continuous-improvement mindset.
• Self-motivated and organised, with strong follow-through and the ability to manage multiple priorities.
• Strong communicator and collaborative team player who can work effectively with cross functional stakeholders.
• Comfortable working with ambiguity while seeking guidance and escalating material risks or decisions appropriately.
• Attentive to detail and committed to data confidentiality, control discipline and delivery quality.