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The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICM 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.
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 ICG senior management
Ability to query and clean complex datasets from multiple sources
Deep and hands-on experience in deriving concrete insight from data and qualifying business impact
Develop processes and tools to monitor and analyze model performance and data accuracy
Collaborate within IBQA teams and with QA Directors and provide them with analytics insights
Provide oversight and guidance over the assessment of complex data related issues, structure potential solutions and drive effective resolution with stakeholders
Support WCR IBQA team to abreast of relevant changes to rules/regulations and other industry news including regulatory findings
Support WCR IBQA Voice of the Employee (VOE) as well as diversity and inclusion initiatives
Requirements:
Good understanding of Underwriting space with experience in Banking and Financial Services Industry
Relevant years of experience in data analytics, modelling and analytics, internal audit, or similar functions at an investment or large commercial bank
Good grasp of Wholesale Credit Risk and Counterparty Credit Risk Processes and organizational awareness
Solid organizational skills with ability and willingness to work under pressure and manages time and priorities effectively
Written and verbal communication skills
Experience in analyzing datasets and distilling them into actionable information
Understanding of process redesign / re-engineering and execution
Analytical and decision-making capabilities
Experience in preparing presentations for seniors
Coding knowledge and experience with at least one programming languages (Python & tableau skills or similar tools)
Proven experience of agile collaborative working
Experience working with data and deriving insights
Bachelor’s or Master’s Degree in Business Administration, Finance or similar disciplines
Data Analysis: SQL
Python
SAS
R, Alteryx
Visualization: Tableau
QlikView
MS Power BI
Programming language: Python
Nice to have:
Credible Challenge
Data Analysis
Laws and Regulations
Management Reporting
Policy and Procedure
Referral and Escalation
Risk Controls and Monitors
Risk Identification and Assessment
Risk Remediation
What we offer:
Extensive on-the-job training and exposure to senior leaders
More traditional learning
Opportunity to give back and make a positive impact through volunteerism
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