ICM In - Business QA - Data Analytics - (VP, data scientist)

In this role, you're expected to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses across the enterprise. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. You will execute and participate in the Quality Assurance Reviews (QARs), providing feedback, insights, and observations on any deficiency and areas of improvement. As the ICM In-Business Quality Assurance Data Analytics Vice President, you will engage with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators. You will work closely with the In-Business Quality Assurance Head of Data Analytics to set the global strategy and lead the implementation of a robust Data analytics and testing program for the Quality Assurance function related to Wholesale Credit Risk (WCR) data governance. This role requires hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solutions. Additionally, you will be responsible for deriving concrete insights from data, qualifying business impact, and monitoring and analyzing model performance and data accuracy. Key Responsibilities: - Provide integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses - Execute and participate in Quality Assurance Reviews (QARs) to provide feedback, insights, and observations for improvement - Engage with management, Independent Risk, partner stakeholders, and regulators - Set global strategy and lead implementation of a robust Data analytics and testing program for Quality Assurance related to Wholesale Credit Risk data governance - Design, plan, prototype, productionize, deploy, maintain, and document reliable and scalable data science solutions - Derive insights from data, qualify business impact, and monitor and analyze model performance and data accuracy Qualifications Required: - Relevant experience in data analytics, Wholesale Credit Risk, and leadership skills - Strong communication skills and ability to collaborate effectively with stakeholders - Good understanding of risk and control framework in banks - Solid organizational skills, logical and methodical mindset, ability to work under pressure, and manage time and priorities effectively - Coding knowledge and experience with programming languages like Python, Java, C++ - Experience working with and manipulating large sets of data - Bachelors or Masters degree in a quantitative or equivalent field - Proficiency in data analysis tools like SQL, Python, SAS, R, Alteryx, Splunk - Proficiency in visualization tools like Tableau, Qlikview, MS Power BI If you have a drive to learn and master new technologies, excellent problem-solving skills, and clear communication abilities, you are encouraged to apply for this role. This position offers an opportunity to lead complex Quality Assurance work, provide effective challenge on data and credit processes, and partner with stakeholders to drive sustainable remediation.,