Job Description

About the Department:
Excellent opportunity for an experienced credit risk professional to join a high-performing and evolving Risk Portfolio Management (\'RPM\') function. RPM comprises of a broad range of functions primarily focused on credit portfolio management across banking subsidiaries within OCBC Group. This position is under the Credit Risk Modelling ("CRM") team within RPM.

About the Team:
CRM is a high-profile, multi-disciplinary risk analytics team that covers credit risk models at OCBC Group. The key functions CRM performs include developing, implementing and managing various types of credit risk models, such as Credit risk Scorecards, Internal Rating models, IFRS 9 based Expected Credit Loss models, Credit Stress Testing models, Economic Capital models and Machine Learning models that support Group\'s credit risk measurement. These models are embedded in the credit underwriting, customer selection, limit setting, early warning and problem recognition, as well as assessment of capital and provision adequacy.

Job position available:
We have opportunities available for Analysts in the following areas:

• Develop, implement, and maintain various types of credit risk models supporting the Wholesale, Small Business and Consumer segments of the Group.
• Monitor, back-test and report performance of the models to ensure adherence to performance standards and early detection of weaknesses.
• Develop and maintain user requirements, parameters and configurations of systems housing the models.
• Develop in-depth expertise in credit risk modelling methodologies.
• Work closely with independent model validators to ensure compliance to model governance framework and timely closure of validation findings.
• Engage with auditors and regulators to ensure compliance with relevant requirements.
• Engage with various stakeholders to develop analytical solutions using model outputs in credit decisioning, business strategies, allowance, and capital assessment.

• Degree in Quantitative/Financial discipline, such as Mathematics, Statistics, Financial Engineering, Accounting, Finance, Economics, or equivalent professional certifications.
• Analytical and independent thinker with strong written and verbal communication skills.
• Ability to interact and communicate effectively with senior management.
• At least 2 - 4 years of relevant experience in a related area.
• Strong computational skills, preferably in SAS, SQL, Python etc. with an experience in handling data and performing quantitative analysis.
• Good understanding of Basel III, IFRS regulations and credit products will be preferred.
• Experience in credit analysis, risk analytics or credit risk management in wholesale or consumer portfolios will be an advantage.
• Reporting to: Head, Portfolio Credit Risk Modelling, Risk Portfolio Management

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