Risk and Compliance - Retail Risk Analytics Department

Hang Seng's Risk and Compliance ("RKM") strives to maintain a well-balanced risk profile for the Bank while enabling businesses to thrive. Our team actively manages a varied and dynamic range of risk types. We are dedicated to collaborate with businesses, other functional units and regulatory bodies to develop and implement robust and customized risk management frameworks and measures to maintain the strong market position of the Bank. 

Retail Risk Analytics - actively manages a varied and dynamic range of credit risk types via developing and implementing credit risk models for provisioning, stress testing and regulatory capital; execution of an effective non-financial risk (i.e. model risk) and internal control framework and coordinating with Business and Finance on various matters relating to capital management and business decision of the Bank.

We are currently seeking a high caliber professional to join our department as Assistant Retail Risk Analytics Manager.

Principal responsibilities

• Prepare the model monitoring and perform the independent model validation for the Retail portfolios to ensure compliance with the Group and regulatory requirements.
• Develop and automate comprehensive MI risk reporting; prepare regulatory and internal reports
• Assist the implementation of retail credit system and model deployment 
• Work with HASE, Finance, IT, business units, regional and global teams to ensure requisite support
• Participate in user acceptance tests, as well as documenting the work procedures of related processes.  

Requirements

• University degree in Statistics, Economics, Management Sciences or a related discipline
• Proficiency in data analyses using statistical or programming tools such as SAS, Excel and SQL is a must
• Minimum of 3 years’ experience in credit risk management or related with sound knowledge of risk analytics and regulatory requirements is preferred
• Excellent communication, analytical, project management and interpersonal skills
• Self-motivated, with the ability to meet tight deadlines and make decisions independently
• Proficiency in both English and Chinese
• Great sense of ownership and servicing mindset to ensure efficient and effective customer service processes

Candidates with less relevant experience will be considered for the position of Retail Risk Analytics Officer.