ICM In-Business Quality Assurance Data Analytics - AVP

Job Description

Institutional Credit Management s ( ICM ) objective is to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring and reporting for wholesale credit businesses across the enterprise. Institutional Client Group (ICG) In-Business Quality Assurance is an integral part of the ICM organization. The ICG In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICG Management uses the results of the quality assurance reviews to assess the quality of the groups policies, procedures, programs, and practices as relates to the management of wholesale credit risk. The results help management identify operational weaknesses, risks associated with the function, training needs, and process deficiencies.The ICM In-Business Quality Assurance Senior Officer executes and participates on the Quality Assurance Reviews (QARs), providing feedback, insight, and observations on any deficiency and areas of improvement, engaging with the management of the respective ICG business area, Independent Risk, and critical partner stakeholders and regulators.This role reports to the ICM Head of In-Business Quality Assurance Head of Data Analytics.Key responsibilities include:
• 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. 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.
• Deep and hands-on in deriving concrete insight from data and qualifying business impact.
• Develop processes and tools to monitor and analyse 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
• Travel (less than 10%)
Skills/Competencies:Analytics and Business:
• Demonstrable experience of at least 5 years of data analytics, in innovation, 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, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation
Leadership:
• Assists colleagues in identifying stretch opportunities to elevate individual and team performance and recognizes individuals based on performance
• Continuous learning and improvement mindset.
• Proven culture carrier
Competencies:
• 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
• A drive to learn and master new technologies and techniques.
• 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
• Analytical and decision-making capabilities including the ability to identify, escalate, and propose and execute solutions to complex problems
• Experience in preparing presentations for seniors
Technical:
• Coding knowledge and experience with at least two programming languages (C++, Python, Java, R, etc.).
• Proven experience of CICD/Agile collaborative working.
• Experience with deep learning framework PyTorch strongly preferred.
• Experience working with and creating data architectures.
Qualifications:
• Bachelor s or Master s degree in Maths Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• Data Analysis: SQL; Python; SAS; R, Alteryx.
• Visualisation: Tableau; Qlikview; MS Power BI.
• Programming language: Python, Java, C++.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
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Keyskills :
big datacredit riskdata sciencedeep learninginternal auditdata analyticsprocess redesignteam performancequality assurance