Job Description

Wholesale Bank function operates a dynamic business model that provides financial services and solutions to help our clients achieve their strategic business objectives. Our mission is to become the premier-provider of banking services and solutions for Asia-based commercial banking companies (small medium enterprises), large corporations, financial institutions as well as multinational corporations. Our coverage teams work in full alignment with specialised teams across Transaction Banking, Investment Banking, Global Markets and Group Retail to deliver seamless solutions to our clients. Job Responsibilities We would like to seek a detail-oriented candidate ideally with strong analytical and python programming skills to join the Wholesale Banking Portfolio Management, Credit modelling unit. The team focuses on Model development and Review, Building Predicative modeling using Machine Learning and Visualization The candidate would perform yearly Model Review for Basel 2 IRB Corporate models and MFRS 9 models which covers PD/EAD/LGD and Macroeconomic Models. The job scope requires documentation for the model review for validation on the IRB & MFRS 9 estimates and to undertake investigation to provide statistically and judgmentally sound responses to validators and Central bank. The new additional coverage includes climate risk model development and Artificial intelligence models for Wholesale portfolio The role includes liaising with key stakeholders to gather business insight in the respective area of model development and data analytics, presenting and capturing model approach, model results and its thought/rational within working group. Overall, the candidate should be able to work independently with huge dataset and conduct regular and ad-hoc back-testing of Wholesale models to ensure they are remained fit for purposes. To support the Business Units through regular analytics reporting, the candidate would need to collaborate with Business Units to develop report automation and visualization through Business Intelligent tool and using AI machine learning technique, as well as to conduct UAT to rollout new models. Job Requirements Degree in Statistics, Actuarial Science or Economics. Minimum 3-4 years relevant experiences. Experience in R, Python programming or Machine Learning modelling is preferable. Good knowledge of relevant regulatory requirements on risk models and risk parameters. Good understanding of Bank\'s product and overall credit underwriting process and risk involved. Good statistics and mathematics background. Able to interpret statistical / mathematical test well and provide recommendation. Good programming skills in data handling and statistical modeling knowledge. Good understanding of relational databases and data models. Good project management skill. Be a part of UOB Family UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate\'s age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. Apply now and make a difference.

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