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Job ref no.: 0000B1DK
HSBC

Credit Risk Analytics Manager - Global Risk

HSBC

Some careers grow faster than others.
If you’re looking for further opportunities to develop your career, take the next step in fulfilling your potential right here at HSBC.

Global Risk is a thriving and expert risk management function supporting HSBC globally with all aspects of risk management. The team actively manages a varied and dynamic range of risk types, including security, fraud, information security, contingency, geopolitical, operational, credit, pension, insurance, financial crime and regulatory compliance, market and reputation risks. All parts of the Global Risk team use their skills, insight and integrity to handle established threats and those they see emerging, acting to protect and enable HSBC to deliver sustainable growth.

We are currently seeking a high caliber professional to join our team as Credit Risk Analytics Manager.

In this role, you will

  • The Credit Risk Analytics Manager is responsible for supporting Senior Global Risk Analytics Manager and Head of Global Risk Analytics in the development and validation of wholesale Credit models, as well as the related analytics support in Asia Pacific.
  • In addition to the regional responsibilities, the job holder should also ensure global consistency in the development, implementation, and monitoring of wholesale credit methodology, policies and systems.
  • The role holder is also expected to provide both consultation and support on other risk analytics such as but not limited to Stress Testing, IFRS9 and Economic Capital across key customer groups to build shareholder value and profitability and to protect employees, assets and reputation of the HSBC Group via Improved measurement of  risk related capital resources
  • Close alignment between the Risk and Business and Support functions in execution of the role
  • Alignment of the regional Analytics to the Global Analytics via a close and collaborative ongoing relationship with Group Risk and the Global Head Global Risk Analytics.

To be successful in this role, you should meet the following requirements

  • Degree holder or above in Finance, Mathematics, Risk Management, Statistics or a related field.
  • Have a good understanding of credit including PD, EAD, LGD modelling, in particular within the wholesale environment
  • Experienced in banking industry, including experience in Risk and in a business line, preferably corporate.
  • Prefer to have a hands on experience in stress testing and Basel modelling and validation
  • Prefer to have experience in Basel and HKMA regulatory capital rules
  • Able to work in a dynamic and multinational culture and cope with high pressure
  • Proven writing and analytical skills
  • Quantitatively capable.
  • Hands on experience in Python, R, SAS or any programming language
  • Be a confident communicator with excellent soft people skills and management skills
  • Ability to build effective relationships and liaise effectively with key business areas and management at all levels of the organisation
  • Have a strong desire to embrace and drive change with strong influencing ability 

For further details and application information please visit our career site, search under reference number 0000B1DK

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hong Kong and Shanghai Banking Corporation Limited

More job information
Job ref no. 0000B1DK (CT3113706-01#0698)
Salary
  • N/A
Job Function
Industry
Employment Term
  • Full-time
Experience
  • 4 years - 6 years
Career Level
  • Senior management level
Education
  • Degree