Business QA - Data Analytics

In this role, you are expected to contribute to Institutional Credit Management's (ICM) objective of providing comprehensive credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses. As part of the ICM In-Business Quality Assurance function, you will play a crucial role in verifying that established standards and processes are consistently applied. Your insights from quality assurance reviews will help assess the group's policies, procedures, programs, and practices related to wholesale credit risk management, enabling the identification of operational weaknesses, training needs, and process deficiencies. Key Responsibilities: - Execute Quality Assurance Reviews (QARs) to ensure compliance with established standards. - Provide feedback on deficiencies and areas of improvement. - Engage with management, Independent Risk, and other stakeholders to address quality assurance findings. Qualifications Required: - Experience in Business Audit or Risk Management. - Expertise in Machine Learning, Data Science, and Analytics within the context of Wholesale Credit Risk processes. - Strong analytical skills, communication abilities, knowledge of Wholesale Credit Risk, leadership qualities, organizational skills, problem-solving capabilities, attention to detail, and a drive for learning new technologies. - Proficiency in programming languages such as SQL, Python, SAS, R, Tableau, and Power BI. If you are seeking a challenging role where you can contribute to enhancing data analytics within the context of Wholesale Credit Risk and collaborate with various stakeholders to drive improvements, this position may be an ideal fit for you.,