Monitor and review the performance of existing IRB models (e.g. Application and Behaviour scorecards, PD/LGD/EAD models)
Responsible for the implementation of IRB models into credit decision system
Conduct UAT for system implementation
Perform data analysis to monitor the data quality of front-line credit system
Cooperate with credit origination, credit monitoring and credit approval function team to develop risk analytical strategy on model uses to meet business requirement and ensure risk/reward payoff is maximized.
Requirements:
University graduate, preferably inStatistics, Mathematics, Computer Science, Economics, Finance, Risk Management or a related discipline
FRM is preferable
Experience in data analysis using relevant software packages i.e. Python, SQL, SAS, Excel
Excellent communication and writing skills in both Chinese (including Putonghua) and English
Strong project management abilities and ability to multitask