VP/AVP, Risk Analytics, Group Risk Management
4 weeks ago
VP/AVP, Risk Analytics, Group Risk Management
Posting Date: 08-May-2023 Location:Singapore, SG, Raffles Pl
Company: United Overseas Bank Limited
About UOB
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.
Our history spans more than 80 years. Over this time, we have been guided by our values — Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.
About the Department
The Group Risk Analytic function is a multi-disciplinary risk analytics team that oversees enterprise-wide risk management models at United Overseas Bank. The team validates a wide range of risks and measurement models. Those models can be used to assess and manage credit, market/treasury, AML and balance sheet risks across the bank’s global business.
Job Responsibilities
Conduct independent model validation for new and existing credit risk and interest rate risk in the banking book (IRRBB) models Provide effective challenges to all aspects of credit risk/IRRBB models including theoretical soundness, model assumptions, model design, data inputs, modeling process, and model outcomes Conduct qualitative review of model development process including underlying assumptions & theoretical basis. Conduct quantitative assessment of model performance via data evaluation and statistical testing. Clearly articulate validation findings and make sound recommendations to exercise sufficient challenges Effectively communicate model validation outcomes to various stakeholders and management
Job Requirements
PhD/Master/Bachelor majoring in Financial Engineering, Mathematics, Statistics or equivalent professional certifications Familiar with SAS and Python language Minimally 6 years of credit risk management or data analytics in banking industry Team player, self-motivated and resourceful Numerically inclined with a strong analytical mind Proficient in the use of Microsoft Excel and business report writing-
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