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This role is part of the In -Business Balance Sheet Management Team. This individual will be working on key analysis and driving key initiatives contributing to the successful management of capital constraints.
Job Responsibility:
Perform stress loss forecasting in alignment with CCAR/CECL framework, evaluate drivers to stress losses support recommendations for Risk Appetite limits to the Business CRO and CEO for approval
Perform In-Business Std RWA (Risk Weighted Asset), ARWA (Credit & Ops) and capital (TCE: Tangible Common Equity) and RoTCE forecasting based on CCAR and other internal stress testing scenarios consistent with firm’s risk appetite framework and strategic plans
Perform monitoring and detailed analysis of Spot RWA (Std, Adv Credit & Ops) metrics and trends. This includes conducting weekly driver analysis to identify key contributing factors, anomalies, and potential impacts on capital adequacy, ensuring strict adherence to established risk limits and regulatory requirements
Conduct in-depth analytical assessment of balance sheet components (assets, liabilities, and equity) to identify trends, understand key drivers, and analyze interdependencies impacting capital and risk
Support the team in ongoing initiatives aimed at optimizing capital utilization, enhancing balance sheet efficiency, and improving risk management practices
Build presentations with supportive analysis, storyboard results for senior management & executive management team
Requirements:
4+ years of work experience in financial services or management consulting with heavy focus on financial risk management
Working knowledge of Credit Cards and other consumer bank products P&Ls, key risk & return dynamics and loss drivers
Good understanding of Capital and Balance Sheet Management, CCAR & CECL framework, Basel III Endgame
Hands on experience in retail credit risk analytics using analytical or data management tools (e.g., SAS, SQL, Pearl, FRM, VBA, Advanced Excel) and power-point presentation skills
Excellent quantitative and analytical skills, ability to derive trends, insights, and perform risk/reward trade-off analysis
Preferred Master’s degree in quantitative disciplines such as Financial Engineering, Operation Research, Econometrics, Statistics or similar quantitative discipline
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