Product Controller - Credit Risk Senior Associate, Card Services

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As an Credit Risk Senior Associate Product Controller in Credit Risk, you will support the end-to-end build and integration of a new credit card product into Card Services financial reporting, processes, and control frameworks. This is a hands-on role focused on executing deliverables across requirements within the controls framework, testing and substantiation, and go-live stabilization, partnering closely across Finance, Risk, Technology and product teams. You will also contribute to credit risk-related analysis and reporting for the credit card loan portfolio, delivering controlled, well-documented outputs that support governance and external reporting.

Job Responsibilities 

• Support end-to-end Product Control integration of a new credit card product into Card Services financial reporting, processes, and the control framework, including requirements definition/alignment, controls design and validation, testing and substantiation, go-live readiness, and post-implementation stabilization, coordinating delivery across Finance, Risk, Technology and product teams
• Perform detailed data analysis using SQL or Python to extract, reconcile and validate data elements to support the Controller workstream
• Support the analytical review of the allowance for credit losses (ACL) including analysis of key business drivers, assessment of model outputs and leveraging data to support qualitative estimates, which are then summarized in financial reporting and quarterly memos.
• Coordinate upstream/downstream deliverables across Finance, Risk, and business teams, prepare credit risk metrics and portfolio reporting, including trend analysis and support for the governance process.

Required Qualifications, Capabilities, and Skills 

• Bachelor’s degree in Accounting, Finance, Information Systems, or related discipline
• 2+ years of experience in Finance, Accounting, Financial Reporting, or related fields
• Advanced Excel skills and demonstrated experience using SQL or Python to independently analyze, transform, and interpret large datasets 
• Quantitative/analytical thinking
• Good written and verbal communication, documentation discipline, self-starter and ability to manage multiple priorities across BAU and change initiatives