The Risk & Capital Chief Data Office (CDO) is responsible for integrating the Firmwide Data Management (FDM) framework across all the risk stripes. This includes execution of large scale data management programs around report governance, data definitions, data issue/quality management, process improvement, and overall data governance and oversight across the Risk and Capital Data Domains. Objective of these programs will be to help ensure data is “Fit for Purpose” and drives sound Risk analytics, reports and decisions.
Roles and Responsibilities:
This role will support the Risk CDO Team and will work closely with stakeholders across Wholesale Credit Risk and LOB and product based functional teams, to ensure timely, efficient execution of prioritized data and process initiatives in order to improve credit risk data that is used for risk measurement, analysis and decision making, regulatory and internal risk reporting, and risk data metrics.
o Project Management – Ideal candidate will have project management experience and must be able to partner with Risk Domain teams to coordinate, organize and report on the efforts, across LOBs and product teams, for completion of data issues and/or process issues that impact data quality; drive escalation to Risk CDO, Corporate Risk and other partner CDO teams, as required.
o Metrics, Reporting, and Training – Produce metrics for all risk and firm-wide data quality reporting, includes scorecards, presentation materials, etc.; communicate program status;
o Data Quality Issue Management – support Risk CDO leads by responding to ad hoc and scheduled requests for data related to the data quality issue management process, reporting and tools; ensure issue status and related data is accurate and complete. Prepare data domain meeting materials; record meeting agendas and minutes; coordinate meeting logistics. Prepare, submit and track information and progress requests with
o E2E Data Quality Issues – may have an opportunity to act as E2E Lead on lower complexity DQ issues. Helping to drive remediation from beginning to end, providing assistance with project planning and analysis, documenting requirements and ensuring adequate engagement is obtained from the necessary business, risk and technology teams. Identifying and escalating obstacles as needed in order to meet target delivery dates.
Candidates with knowledge of TCP Credit and Derivatives products, data flow and related credit systems are preferred.
The Data Quality improvement agenda is a high-priority, high-visibility initiative within the firm. Results of this team’s efforts are reported at the most senior levels of the firm. This role will provide some interaction and visibility with senior members of Credit Risk, Corporate Risk Management and technology teams.
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