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This role would ideally be suited to someone who is an analyst within credit risk analysis unit within the domain of Institutional Wholesale Banking. The ideal candidate will be currently working in 1st or 2nd LOD areas, in roles such as Data Analyst, Credit Analyst or a Business analyst. This role reports to the ICM Head of In-Business Quality Assurance Head of Data Analytics.
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
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, with the ability to communicate clearly and concisely to audiences of varying levels of seniority
Coding knowledge and experience with at least one programming languages (Python & tableau skills or similar tools)
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:
Experience in analyzing datasets and distilling them into actionable information
Experience in preparing presentations for seniors
Proven culture carrier
Continuous learning and improvement mindset
What we offer:
Programs and services for physical and mental well-being including access to telehealth options, health advocates, confidential counseling
Generous paid time off packages
Opportunity to grow your career, give back to your community and make a real impact
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