Customer Remediation Group Manager - SVP - Hybrid

Description

The U.S. Personal Banking (USPB) organization delivers a wide array of banking, payments, lending and investment services to individual consumers and small businesses. Our products and services cover a wide range of client banking needs including credit cards, basic banking, mortgages, and investment advisory services. To deliver on our brand promise, we must operate as a truly client-centric organization, driving a high tech, high touch experience for the full Citi relationship, particularly in the U.S. To do so, we have aligned our structure with our strategy, to ensure we win in the U.S., our largest market, and drive greater client-centricity across product, segment and geography.

Job Description

The Customer Remediation Analytics Group Manager will use their knowledge of data processing, financial service products, and core financial service processes to lead a team of analysts in support of Customer Remediation data requests and lead data analysis to identify populations impacted by system or processing issues. The Group Manager will drive the development of standards, procedures, and core competencies to establish an end-to-end process for all data requests. They will collaborate with stakeholders across the organization to optimize the data process to ensure complete, accurate, timely and consistent responses. In the course of the work, they will proactively identify data quality issues and work with partners in Risk and Control functions to ensure appropriate actioning thus reducing risk exposure. The role is part of the U.S. Personal Bank Risk and Controls Data Support team which is central to part of the US Consumer Bank’s mission to treat data as a valuable business asset and improve the consistency and quality of data thus ensuring its fit for purpose.

Responsibilities

• Lead an innovative and inclusive team-oriented environment where data analysts and engineers can tackle some of today’s strategic data challenges.
• Design and deliver analytic solutions to improve core data management and control activities.
• Collaborate closely with colleagues across multiple locations to share analytics and best practices.
• Design analytical techniques across structured and unstructured data sets to deliver solutions that help the various teams enhance their programs.
• Partner with Business Management and Operational Risk and Control to understand data requirements for Customer Remediation issues, define data specifications, define data extraction plan (approach, tasks, timeline), and determine appropriate data quality control checks and analytics
• Partner with Business Customer Remediation Teams and Operational Risk and Control to understand populations impacted by system or processing issues in order to accurately identify all impacted customers and appropriate data to support remediation of the issue
• Apply understanding of Cit U.S. Personal Banking business processes, data systems, data flows, as well as knowledge of regulatory policies and standards to support all activities for data requests and customer remediations
• Support development of documentation standards and procedures of all key data tasks (extraction, QC, issues, etc) and ongoing refinement of best practices
• Responsible for ensuring for each data request consistent and complete documentation of key data activities (specification, collection, processing, cleaning, quality controls, and validation)
• Present status updates, issues / challenges / risks and solutions to senior management, stakeholders and partners in a succinct manner to drive decision-making and actions

Qualifications:

• Master’s degree in the following fields is preferred: Econometrics, Statistics, Mathematics, Marketing Science, Computer Science, or other quantitative fields.
• 10 years of experience in quantitative field, preferably in financial services. Experience in Data Analytics is preferred.
• Practical experience in leading and managing a team of diverse talents and responsibilities.
• Experience with Machine Learning techniques such as NLP and image recognition.
• Competent programming aptitude with excellent computation and data mining skills.
• Strong understanding of major areas of data management; physical and logical data models, metadata management, data quality monitoring, and data issue management
• Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management.
• Execution focused and can come up with practical solutions to complex problems.

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Effective November 1, 2021, Citi requires that all successful applicants for positions located in the United States or Puerto Rico be fully vaccinated against COVID-19 as a condition of employment and provide proof of such vaccination prior to commencement of employment.