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The role is based in Singapore and will report to the Head of Modeling, who in turn reports to the Head of Group Risk and Decision Management. The position is a junior team member in the modeling team. He/she is responsible for developing, implementing, validating and monitoring risk scorecards, IFRS9 and Basel II models, as well as overall risk management of PFS portfolios. Whilst the role's focus is on PFS credit risk as well as retail Marketing Analytics. The candidate will be responsible for the following areas of consumer banking portfolios in Singapore, Malaysia, Thailand and Indonesia.
Develop, maintain and enhance existing IFRS9 models for group retail covering PFS, Business Banking and private banking to support finance to roll out the deployment across the region.
Develop, maintain and enhance existing Basel II models and retail risk scorecards (application, behavioural, etc) to support credit risk and performance management of the retail banking business
Conduct regular and ad-hoc validation of scorecard performance, IFRS9, Basel II PD, LGD and EAD models, as well as portfolio stress testing
Generate, analyse and monitor portfolio risk and capital reports, scorecard performance report and booking profile. Provide ad-hoc credit risk analyses to business managers, senior management, regulators and other key stakeholders
Develop and maintain IFRS9, Basel II, scoring and other credit risk related documentation, policies and procedures
Implement IFRS9, Basel II and scorecards models, manage the scoring and capital computation engines and analytics datamart, conduct UAT and support overall deployment of models
Work with UOB Group Risk Management on group-wide programmes, such as Economic Capital model, ICAAP framework, stress testing and other initiatives
Conduct periodic training and research and development of new models, methodologies and model applications
Support UOB regional offices in IFRS9, Basel II and scorecard development and other required efforts
Undergraduate degree in a quantitative programme, such as Statistics, Mathematics, Actuarial Science, Financial Engineering, etc. Business, Finance and Economics degrees with a strong quantitative focus and highly relevant working experience will be considered. Post graduate degree is an added advantage
>3 years of working experience in credit risk modeling and management, preferably in a retail banking environment. Consulting and risk vendor experiences will also be considered
Strong PC skills: SAS - Programming, Enterprise Guide, Enterprise Miner; SQL / AS400 query and database familiarity; MS Office applications, including advanced spreadsheet and VBA. Knowledge of Fermat Basel solution is a plus
Analytical mind with sound business insight, excellent communicator (verbal and written), highly meticulous, and self-motivated
Self starter, flexible with a proven ability to work well in teams, as well as being able to function with minimal supervision. People management experience is a plus
Maturity that will enable the candidate to be a credible counterpart to business managers, and the ability to develop on-going 'trusted advisor' relationships based on the ability to understand, analyse, discuss and address key business challenges raised