Retail Risk Engine Analyst

• Translate credit risk underwriting policies into loan origination system's decision rule engine
• Utilize statistical tools to analyze the effectiveness of loan approval rules
• Optimize and rearrange the loan approval rules to enhance customer journey and the bank's productivity
• Provide feedback to risk portfolio manager for underwriting policy improvement and reduce redundancy of risk policies
• Participate in decision rule testing to ensure the accuracy and the functionality of the rules compared to the policies
• Coordinate with related parties; e.g. risk portfolio manager and IT, to ensure the implementation of the decision rule engine

• Bachelor's degree holder or above in Engineering, Applied Statistics, Data Science, Computer Science, Finance or related discipline
• Good analytical, communications and interpersonal skill and detail-oriented
• Proficiency in use of MS Excel and PowerPoint
• Good understanding in information management system and programing such as SAS, Python, R Studio or VBA, is a plus

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