AVP Stress Testing

Job Description

Some careers have more impact than others. We are currently seeking an experienced professional to join our team in the role of Assistant Vice President Stress Testing Business: Finance Function Principal responsibilities The role of the AVP is to manage the end-to-end execution of regulatory and business stress tests across specified regions. Manage the program across countries within a geographic region to achieve consistency in execution while catering to the local nuances of portfolio dynamics and regulatory requirements. The role will include oversight and supervision of the calculations of estimating the likely impact of economic and financial scenarios on P&L, capital and liquidity resources both for enterprise-wide stress tests and ad-hoc stress tests directed toward specific countries and/or portfolios of interest. The role also involves providing thought leadership and creating opportunities for the team to work smarter, as well as adopt new tools and techniques to meet the ever changing requirements from regulators and senior stakeholders across the Group. Key stakeholders will be the global program owners which these teams support and include regional and Group management teams across Wholesale Credit Risk and Finance. Requirements Bachelor s degree in numerate subject, e.g. mathematics/ statistics/ economics or equivalent experience; Master s degree Prior exposure in stress testing and / or impairment reserves. Good conceptual understanding of Wholesale Credit Risk, Basel and IFRS regulatory policies & principles is a plus Technical skills of SAS, VBA, Python Qliksense, Tableau will be added advantage 8 plus years experience required in banking, preferably Risk management Relevant experience in fields like Credit Risk & Basel, Loss Forecasting / Reserving, IFRS9, Stress testing etc. Strong organizational, problem-solving and verbal and written communication skills Strong analytical skills Past experience in understanding regulatory requirements for Stress Testing and capital management. Good technical background working with large-scale data in distributed computing environments, including databases, data cleaning, and feature engineering Experience in model development or complex model execution will be a plus