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This position involves executing Quality Assurance Reviews (QARs) within the Institutional Credit Management (ICM) department, focusing on policy and procedural adherence in wholesale credit risk processes. Candidates must have strong expertise in Python programming, data analysis, and wholesale credit processes including counterparty credit risk, credit underwriting, and collateral management.
Job Responsibility:
Support In-Business Quality Assurance Head of Data Analytics to set global strategy and lead implementation of a robust Data analytics and testing program for Wholesale Credit Risk data governance
provide effective challenge on data and credit process design and operation, and report identified gaps
query and clean complex datasets from multiple sources for advanced statistical analysis
design, assess, prototype, and document scalable data science solutions
perform operational effectiveness assessments for business processes with focus on Credit Underwriting, Counterparty Credit Risk, and Collateral Management
lead Quality Assurance Reviews covering Data aspects
read and understand policies, standards, and procedures for business processes in scope
lead data discovery to identify data lineage and controls
evaluate findings, determine materiality, and drive sustainable remediation
derive concrete insights from data
collaborate within IBQA teams and QA Directors to provide analytics insights
monitor exceptions to dispute policy and identify root causes
review industry regulations and news to ensure compliance and relevance.
Requirements:
8+ years relevant work experience in Risk & Control function focusing on Wholesale Credit Risk
strong knowledge of Counterparty Credit Risk
deep understanding of control framework in banks
experience in BCBS 239 is highly desirable
Python is essential
familiarity with Tableau, SQL, MS Excel is an advantage
consistently demonstrates clear and concise written and verbal communication skills
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