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Institutional Credit Management’s (“ICM”) objective is to provide an integrated “end-to-end” credit underwriting, identification, measurement, management, monitoring and reporting for wholesale credit businesses across the enterprise. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. The ICM In-Business Quality Assurance - Business Risk Analyst executes and participates on the Quality Assurance Reviews (QARs), providing feedback, insight, and observations on any deficiency and areas of improvement, engaging with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators.
Job Responsibility:
Support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance
Provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns on those through quarterly reports published to ICM senior management
Ability to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis
Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solution
Perform Design, Operational effectiveness assessments of various business processes within Wholesale Credit Risk
Participate and Independently Lead Quality Assurance Reviews (QAR) covering Data relevant aspects
Read Policies, Standards and Procedures to understand key pillars, responsibilities, associated risks and expected controls for the business process(es) in scope
Lead data discovery to identify data lineage, controls, etc. for the defined business process in scope
Good grasp of Wholesale Credit Risk Processes and organizational awareness, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation
Deep and hands-on in deriving concrete insight from data and qualifying business impact
Collaborate within IBQA teams and with QA Directors and provide them with analytics insights
Monitors exceptions to dispute policy and identifies drivers of exceptions
Leverages data to examine effectiveness of the business processes
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members
Support WCR IBQA team to abreast of relevant changes to rules/regulations and other industry news including regulatory findings
Requirements:
Relevant work experience in Risk & Control function focusing on Wholesale Credit Risk
Hands on experience of Data Science / Data Analytics
Deep understanding of control framework in the banks
Experience in BCBS 239 is highly desirable
Python is essential
Tableau, SQL, MS Excel (added advantage)
Consistently demonstrates clear and concise written and verbal communication skills
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