In Business QA Credit Underwriting - Data Analytics - (AVP)

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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 ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICM uses the results of the quality assurance reviews to assess the quality of the group's 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.

This role would ideally be suited to someone who is an analyst within credit risk analysis unit within the domain of Institutional Wholesale Banking. The ideal candidate will be currently working in 1st or 2nd LOD areas, in roles such as Data Analyst, Credit Analyst or a Business analyst.

This role reports to the ICM Head of In-Business Quality Assurance Head of Data Analytics.

In this role, you’re expected to:

• 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
• Deep and hands-on experience in deriving concrete insight from data and qualifying business impact.
• Develop processes and tools to monitor and analyze 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
• This is a hybrid role requiring office attendance 3 times a week.

As a successful candidate, you’d ideally have the following skills and exposure:

Analytics and Business:

• Good understanding of Underwriting space with experience in Banking and Financial Services Industry.
• Relevant years of experience in data analytics, 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 analyzing 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 one programming languages (Python & tableau skills or similar tools) will be an advantage.
• Proven experience of agile collaborative working.
• Experience working with data and deriving insights.

Education:

• Bachelor’s or Master’s Degree in Business Administration, Finance or similar disciplines
• Data Analysis: SQL; Python; SAS; R, Alteryx.
• Visualization: Tableau; QlikView; MS Power BI.
• Programming language: Python

Take the next step in your career, apply for this role at Citi today

https://jobs.citi.com/dei

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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