Posted:3 months ago|
Platform:
Work from Office
Full Time
Define and obtain source data required to successfully deliver insights and use cases. Determine the data mapping required to join multiple data sets together across multiple sources Create methods to highlight and report data inconsistencies, allowing users to review and provide feedback on Propose suitable data migration sets to the relevant stakeholders Assist teams with processing the data migration sets as required Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each customer. Role Description: Good understanding of Wholesale Business within Banking with a focus on Credit Lending. Hands-on experience on advanced programming languages (e.g., Python or Pyspark, SQL). Hands-on experience of application of advanced analytics techniques on the banking data for insight generation. Possess excellent data analysis skills to perform root cause assessments and propose remediation on issues experienced by Risk Wholesale businesses. Applying business and data design principles, risk management, and technology architecture when interacting with delivery partners. Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers- advantageous. Data visualization tools (e.g., Tableau or Qlik Sense) - beneficial. Retail Credit / Traded Credit knowledge - applications will be considered
Capco
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