Total 2 credit controller job vacancies in D06 Beach Road, High Street

We’re on a mission to make financial services accessible and effortless for SMEs. As one of Singapore’s latest digital wholesale banks fully regulated by MAS, we’re committed to continuous innovation to bring about simpler, safer and more rewarding financial services. #bringingaboutwhatsnext

Job description

• Understand how the Bank’s risk appetite and risk culture should be considered in day to day activities and decisions
• Implement collection strategies and key processes for the Collections Team
• Design and coordinate the implementation of systems requirements for collections, reporting requirements and ensure high levels of automation
• Perform the Collections Function on a day-to-day basis including skip tracing and liaison with external agencies including engagement with debt collection agencies to institute collection strategies
• Develop, maintain and monitor the KPIs for external agencies
• Conduct daily portfolio monitoring and regular reviews on delinquent accounts
• Assess and recommend remedial actions on distress accounts for approval
• Assess and prepare accounts for write off
• Manage collection complaints and develop resolution timeframe and benchmarks
• Prepare reporting dashboards (including but not limited to delinquency trends, flow rate velocity, recovery indicators, forecasting and making provisions for loan impairments) for management’s review
• Recommending appropriate Loan classification for each distress borrower
• Initiating Legal Proceedings on problem credits where applicable
• Optimise digital collection strategies and review effectiveness against cost impact
• Conduct lessons learnt and training activities to promote risk/control awareness

Requirements:

• Bachelor Degree or above with minimally 5-7 years of relevant collections experience preferably in SME/Business Banking
• Experience with Statistical models and ideally AI models in collections
• Strong analytical and writing skills
• Strong knowledge of industries and economic environment in the region
• Familiar with MAS regulations such as MAS Notice 612, MAS guideline on Risk Management Practices and other relevant regulations

Job Description:

• In conjunction with models and scorecards, and the bank’s credit risk management frameworks, build and maintain models for onboarding, assessment, ongoing monitoring and reporting of exposures for the Bank. This also includes the usage of AI/ML and incorporating of alternative data into such models.
• Manage the model risks for all scorecards, segmentation, loss forecasting and IRB models including validation, monitoring, managing through limitations and compliance to the Model Risk Management Framework
• Collaborate across functions, enable embedded financing, implement credit models in the various lending platforms / ecosystems that the Bank will engage itself in.
• Conduct both regular and ad-hoc portfolio data analysis on post lending accounts to identify the associated credit risks and problems and make appropriate recommendations on risk mitigation.
• Monitor the performance of the bank’s loan portfolios to ensure they comply with regulations and bank-wide credit risk strategies, policies and manuals.
• Solicit and analyse market related information on the practice or trend of retail and corporate risk management, and make recommendations to Senior Management for procedural reviews.
• Review and validate credit decision process and credit modelling, and identify areas for improvements. Drive automation initiatives and be relentless about reducing manual work-arounds
• Work closely with business, product teams, data scientists (where appropriate), to drive key initiatives to achieve business needs that are within risk appetite.
• Oversee regular tracking on MIS and key performance metrics of all scoring models, loss forecasting models and risk segmentation models.
• Key contributions also towards ICAAP, IWST, Regulatory Reporting, ECL modelling and regular fine-tuning of the same.

Job Qualification:

• Degree or above with major in Mathematics, Statistic or Financial Engineering etc.
• Minimum 10 years relevant experiences from credit risk analytics and/or modelling in banking. SEA market know-how will be a plus
• Hands-on experience in the end-to-end development/validation of credit risk models
• Sound knowledge of Basel, IFRS9, MAS requirements in relation to models
• Good understanding of credit products in wholesale / SME segment
• Good stakeholder management and presentation skills
• Proficient in SAS, SQL and other analytical tools (R, SPSS, Python)
• CFA or FRM certification will be a plus
• Self-initiated, excellent analytical skills and be able to handle multiple-tasks under tight schedules
• Articulate; Good command of written and spoken English.
• Meticulous, organised and able to produce documentation of high quality with clear and concise messaging.
• Self-assured and able to interact well with various working levels