Data Analytics Vice President

• 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
• Ability to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis
• Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solution(s)
• Evaluate findings identified through the Quality Assurance process, determine materiality, and partner with business to drive sustainable remediation
• Perform Design, Operational effectiveness assessments within Wholesale Credit Risk
• Develop processes and tools to monitor and analyse model performance and data accuracy
• Provide oversight and guidance over the assessment of complex data-related issues, structure potential solutions and drive effective resolution with stakeholders
• Stay abreast of relevant changes to rules/regulations including regulatory findings
• Act as SME to senior stakeholders and team members

• Demonstrable relevant experience of data analytics, in innovation, modelling and analytics, internal audit, or similar functions at an investment or large commercial bank
• Strong Knowledge of Wholesale Credit Risk (including Counterparty Credit Risk)
• Excellent communication skills with the ability to effectively collaborate with stakeholders at all levels to elicit requirements and priorities
• Good understanding of Risk and control framework in the banks
• Coding knowledge and experience with at least two programming languages (C++, Python, C#, Java, R, etc.)
• Experience with deep learning framework PyTorch
• Experience working and manipulating large set of data
• Bachelor’s or Master’s degree in quantitative or equivalent field
• Data Analysis: SQL, Python, SAS, R, Alteryx, Splunk
• Visualization: Tableau, Qlikview, MS Power BI
• Programming language: Python, Java, C++
• Experience with big data tools: Hadoop, Spark, Kafka

• Experience in preparing presentations for seniors
• Experience in analysing datasets and distilling them into actionable information as well as building out end-to-end analytical process flows
• Understanding of process redesign / re-engineering and execution
• Experience with deep learning framework PyTorch

Equal opportunity employer