A Career with Hang Seng Bank
Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-
in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.
Retail Risk Analytics Manager
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;
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 Retail Risk Analytics Manager .
Develop and enhance financial IFRS9, regulatory IRB and stress test models to ensure compliance with internal and regulatory requirements
Prepare the model monitoring and perform the independent model validation and review
Support the management on the model governance and work closely with Global and regional teams
Perform user acceptance tests, as well as documenting the work procedures of related processes.
Support the system implementation on models and regulatory requirement changes
Assist other regulatory and model management related projects as requested
University degree in Statistics, Economics, Management Sciences or a related discipline
Minimum of five yearsâ€™ experience in credit risk management, data-mining, with sound knowledge of risk analytics and regulatory requirements
Proficiency in data analyses using statistical or programming tools such as SAS, Excel and SQL is a must
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 experience will be considered for the position of Assistant Retail Risk Analytics Manager.