Job Description

Team and Role Introduction:
Lead and implement credit strategy for retail product including BNPL/Cash Loan and SME product for one or multiple markets and take ownership of portfolio risk performance
Responsibilities:
• Conduct risk assessment on user profile. Monitor and analyze risk indicators to finetune underwriting and portfolio management policy
• Prepare and analyze 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 responsible for risk model evaluation and continuously monitor its performance to ensure the stability and accuracy of risk strategy
• Support conceptualization 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
• Ensure compliance with regulatory requirements and industry best practices
• Support country with portfolio deep-dive analyses and provide insights with recommendations on policy changes to improve portfolio quality.
• Collaborate with Business teams, Product teams, Engineering teams and Ops team to balance risk management target with business target and user experience

Job Requirements

• Bachelor Degree and above in Finance, Computer Science, Statistics, Economics, or other relevant fields from a worldly recognized university with good academic credentials
• Minimum 8 years’ experience in risk management area in a sound financial institution, with good track record of risk performance of the managed portfolio
• Deep understanding of the underwriting policy, limit management policy, portfolio management policy, and modeling
• Strong attention to details and ability to notice discrepancies in data, with good experience to process large amounts of data
•Excellent problem-solving skills and solid experience in data analytics
• Profiency in SQL, Python or Pyspark