Propose and implement credit strategy for retail and SME loan underwriting
Propose and implement obligor level credit conditional monitoring and early warning triggers for retail and SME loan
Conduct portfolio monitoring and analysis on concentration risk and asset quality
Set up loan grading and ECL staging criteria of loan portfolio
Prepare and analyse risk reports such as portfolio performance, industry exposure, vendor performance and historical customer trends
Coordinate with modeling team on risk tools development including decision scorecards and ECL/Basel models
Support conceptualisation development for new credit products suitable for retail and SME markets
Track and monitor the full credit cycle performance and risk appetite metrics.
Evaluate and influence to balanced business growth in the form of policy refinement and credit testing
Support countries through analysis to formulate policy and portfolio management to improve profitability
Support country with portfolio deep-dive analyses and provide insights with recommendations on policy changes to improve portfolio quality.
Support the development and growth into new strategic segments e.g. mass market.
Credit Collection
Recommend collections policies and strategies that will result in reducing delinquency roll rates and losses
Set up internal restructuring and write-off rules
Analyse collections and operations strategies and tactics, with a view to develop and implement tests designed to improve collections and overall operational effectiveness
Effectively report on and communicate impact of collections strategies, including test results
Collaborate closely with Operations management and teams to implement collections strategies, including process improvements and technology enhancements
Requirements
Bachelors or above in a quantitative field (e.g.: Statistics, Financial Engineering)
Relevant hands-on banking or fin-tech experience, handling credit risk related portfolios
Familiar with regulations in South East Asia markets
Professional qualifications such as CA/ACCA/CPA/FRM would be advantageous
Strong Credit and Trade finance knowledge
Expert knowledge on risk areas, banking products, services and systems
Problem-solving, positive and constructive attitude is a must
Self-motivated and detailed oriented team player who is able to multitask in a fast-paced environment
Proficiency in data analytics/science tools such as Python, SAS, SQL etc. Experience with Big Data and AI/ML algorithms is preferrable.
System knowledge at implementing strategies / models is a plus.
Strong interpersonal and communication skills.
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