Assistant Vice President - In-Business Quality Assurance - Counterparty Credit Risk

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.  In-Business Quality Assurance is an integral part of the ICM organization. 

The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICM Management uses the results of the quality assurance reviews to assess the quality of the group's policies, procedures, programs, and practices as relates to the management of wholesale credit risk. The results help management identify operational weaknesses, risks associated with the function, training needs, and process deficiencies.

The ICM In-Business Quality Assurance - Business Risk Officer 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.

This role reports to the ICM In-Business Quality Assurance Data Lead, and would ideally be suited to somebody who is currently working in the capacity of a Business Auditor or Risk Management professional with experience in Counterparty Credit Risk from a financial services background

Responsibilities:

• 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 with primary focus on Credit Underwriting, Counterparty Credit Risk and Collateral Management
• 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 and Counterparty 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.

Qualifications:

• 4+ 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 the banks
• Experience in BCBS 239 is highly desirable.
• Tableau, SQL, MS Excel, Python (added advantage)
• Consistently demonstrates clear and concise written and verbal communication skills.
• Effective organizational influencing skills required.
• Excellent problem-solving skills Ability to see the big pictures with high attention to critical details.
• Demonstrated ability to develop and implement strategy and process improvement initiatives.

Education:

• Bachelors/University degree in Finance, Business or other related fields
• FRM, PRM and CFA will be added advantage.

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Job Family Group:

Decision Management

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Job Family:

Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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