Business QA - Data Analytics

8 - 12 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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. - Execute Quality Assurance Reviews (QARs) to ensure adherence to established standards and processes - Provide feedback on deficiencies and areas of improvement to management, Independent Risk, and other stakeholders - Engage with various stakeholders to enhance wholesale credit risk management practices - Support the Head of Data Analytics in setting the global strategy for a robust data analytics and testing program - Analyze complex datasets, derive insights, evaluate findings, and assess data accuracy - Monitor model performance and stay updated on regulatory changes - Act as a subject matter expert for senior stakeholders, exercise independent judgment, and provide guidance on data-related issues - Collaborate with stakeholders to drive improvements in data analytics within the context of Wholesale Credit Risk To be successful in this role, you should possess: - Strong analytical skills - Communication abilities - Knowledge of Wholesale Credit Risk - Leadership qualities - Organizational skills - Problem-solving capabilities - Attention to detail - Drive for learning new technologies - Experience with programming languages and data analysis tools - A degree in a quantitative field - Proficiency in tools 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.,

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