Credit Risk Management Analyst, Digital Bank
Job Description
Job Description
- Propose and implement credit strategy for regional products
- Conduct and execute stress testing and ICAAP exercises.
- Provide governance oversight across SEA markets.
- Propose and implement obligor level credit conditional monitoring and early warning triggers for regional products
- Conduct portfolio monitoring and analysis on concentration risk and asset quality
- Prepare and analyse regional level 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
- Support conceptualisation development for new credit products suitable for regional products
- 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.
- Collaborate closely with collection team and feedback on collections policies or strategies that will help in reducing delinquency roll rates and losses
- Bachelors or above in a quantitative field (e.g.: Statistics, Financial Engineering)
- Minimum 3 years working experience on credit risk domain and relevant hands-on banking or fin-tech experience, handling credit risk related portfolios
- Professional qualifications such as CA/ACCA/CPA/FRM would be advantageous
- 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 VBA, 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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