Provide leadership expertise to analyse, recommend, develop and implement data driven solutions to uplift overall Consumer Financial Services, Risk & Prevention risk surveillance capabilities covering Sales, AML and Operational risk
Transform the way compliance operates by implementing data led techniques and GenAI to uplift the effectiveness and efficiency of the team
Champion continuous improvement by evaluating and staying up to date on the latest analytical/AI tools and techniques
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Provide leadership expertise to analyse, recommend, develop and implement data driven solutions to uplift overall Consumer Financial Services, Risk & Prevention risk surveillance capabilities covering Sales, AML and Operational risk
Transform the way compliance operates by implementing data led techniques and GenAI to uplift the effectiveness and efficiency of the team
Champion continuous improvement by evaluating and staying up to date on the latest analytical/AI tools and techniques
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Partner with key stakeholders to understand objectives, define requirements, and develop AI & data-driven solutions.
Act as the bridge between business stakeholders, technology teams, and data scientists to translate business challenges into implementable AI, digital, and data solutions.
Promote awareness and understanding of emerging technologies, including AI, GenAI, Agentic AI, automation, and advanced analytics across Group Risk Management.
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Partner with key stakeholders to understand objectives, define requirements, and develop AI & data-driven solutions.
Act as the bridge between business stakeholders, technology teams, and data scientists to translate business challenges into implementable AI, digital, and data solutions.
Promote awareness and understanding of emerging technologies, including AI, GenAI, Agentic AI, automation, and advanced analytics across Group Risk Management.
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Govern and maintain the bank’s enterprise Power BI platform, including Power BI Service, Microsoft Fabric capacity, workspaces, gateways, access controls, and platform standards.
Lead Power BI development practices and ensure reports, semantic models, dataflows, and dashboards are designed, reviewed, and delivered in line with enterprise best practices.
Write, review, and optimize SQL scripts supporting Power BI solutions, especially for data sourced from Starburst/Trino, AWS data platforms, on-premises databases, and other enterprise data sources.
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Conduct data analysis and automate manual processes in data collection, data transformation and data aggregation to generate analytical reports using Python and/or similar technologies.
Create and implement interactive dashboards with Power BI for various Compliance reporting and data analysis.
Utilize SQL for data querying and manipulation tasks.
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Maintain and support the regular refresh of PMO Power BI dashboards, including data validation and quality checks, to ensure reporting remains accurate, timely and relevant for management decision-making.
Analyse project portfolio data to identify trends, gaps, anomalies and opportunities for improvement across project delivery, governance and reporting practices.
Translate data into clear insights and compelling narratives that enable stakeholders to better understand portfolio performance, risks, progress and emerging areas of focus.
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Implement Data Quality (DQ) rules for Critical Data Elements (CDEs) leveraging the tools and technologies available within the Bank and monitor DQ results for follow-up and remediation.
Manage other data management assets such as Data Lineage, Data Catalogue, taxonomy, and ontology models by working closely with IT and other GDMO team members.
Gather business and functional requirements and translate them into necessary rules for implementation in the relevant data management assets.
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This position allows for the development of a diverse skill set in AI governance in managing and accessing the risk associated with AI assets and good communication skills, which are valuable in various industries.
During the tenure, this role involves in the maintenance as well as enhancement in the AI and model inventory system, and drive process improvements that underpin effective governance of Model/AI assets, including Generative AI and Agentic AI agents.
On top of that, this role will directly support the Group’s ability to optimize the Model and AI risk assessment process with the help of AI to improve efficiency and productivity.
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This position allows for the development of a diverse skill set in AI governance in managing and accessing the risk associated with AI assets and good communication skills, which are valuable in various industries.
During the tenure, this role involves in the maintenance as well as enhancement in the AI and model inventory system, and drive process improvements that underpin effective governance of Model/AI assets, including Generative AI and Agentic AI agents.
On top of that, this role will directly support the Group’s ability to optimize the Model and AI risk assessment process with the help of AI to improve efficiency and productivity.
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As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.
We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.
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Collaborate across teams — work closely with auditors (domain experts), audit data engineers and audit data scientists, and build a strong network with AI, Digital and Data (ADD) stakeholders to deliver impactful, high-quality audit outcomes
Think critically and challenge assumptions — ask the right questions, exercise curiosity, and apply sound audit judgement
Stay resilient and future-ready — manage multiple priorities, maintain independence, and keep pace with emerging risks, AI, and industry trends
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Data Governance Support: assist in the development and maintenance of data management assets, including data lineage, data quality, data catalogue, and taxonomy frameworks
Data Discovery & Analysis: support initiatives that enable data discovery, impact analysis, and improved understanding of data flows across the organisation
Data Quality Management: assist in monitoring and maintaining data quality standards to support accurate reporting and analytics
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Design, develop, and maintain interactive dashboards and reports for business users and senior management, implementing AI where appropriate to create next-gen dashboards powered by AI
Deliver recurring management reports and ad hoc analytical studies, working closely with various stakeholders such as Business/Product Units to identify growth opportunities and productivity savings.
Translate business requirements into scalable reporting and visualization solutions.
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