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Maintenance of the platform / data refresh for existing data analytics tools in use by our partners to ensure smooth data flow and process including monitoring data quality and lineage and timely escalate system issues identified.
Develop visualization tools and other reporting dashboards to humanize the experience for reporting to Audit Committee / Senior Management.
Conduct presentation to our partners and management on the development of the tool as well as to provide training, demo and support to users if needed.
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Turn big, complex data into smart insights using advanced analytics, predictive models, and AI/ML to tackle risk areas like Fraud, Collections, and Underwriting.
Analyzing large datasets to identify trends, insights, and opportunities for business growth.
Maintaining and optimizing the CRM system to ensure its effective usage across teams.
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Support user queries and debugging for tools and platforms across the team (VBA-related queries are handled by the senior team members)
Support the implementation and adoption of IBP tools and capabilities, including creating workflows and data integrations to connect planning platform outputs to existing tools and reporting
Serve as a liaison between the Data Science team and business users to understand their needs and translate them into actionable data solutions
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Support user queries and debugging for tools and platforms across the team (VBA-related queries are handled by the senior team members)
Support the implementation and adoption of IBP tools and capabilities, including creating workflows and data integrations to connect planning platform outputs to existing tools and reporting
Serve as a liaison between the Data Science team and business users to understand their needs and translate them into actionable data solutions
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Act as a business analyst to identify the business needs, design and deliver fit-for-purpose solutions
Gather complex business requirements and articulate them in a clear manner, and work with business and IT teams to prepare documentation (e.g. project plan, business requirements and test plan)
Oversee and mentor junior team members in project management, quality assurance, and data analytics
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You will also work with different functional teams across the bank and be a driving force in continuously levelling up our already data-driven culture.
Proficiency using SQL and Python for data analysis and modelling with large data sets
Proficiency using business intelligence platforms (eg. Tableau, PowerBI) to visualize, explore and share data
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Validate the accuracy and quality of data extracted from unstructured policy documents, ensuring alignment with business intent and regulatory standards.
Perform manual and automated testing on knowledge graph structures to identify inconsistencies, redundancies, and logical errors.
Serve as the key liaison between technical teams (Data Scientists/Engineers) and business stakeholders (Compliance, Risk, Operations).
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Develop meaningful, actionable insights through robust business analysis to support strategic planning, key initiatives, and cross‑functional projects
Lead the creation, execution tracking, and follow‑up of strategic and operational initiatives, with a focus on cost effectiveness and operational efficiency within sourcing
Prepare high‑quality business reports and presentations for senior management, including Quarterly Business Updates and Sourcing Matrix reports
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