Responsibilities:

1. Contribute and support the preparation of BAU MIS reporting, data extraction, and portfolio analysis;
2. Involve and support various risk management workflow re-engineering, revamp of credit risk MIS processes & controls and development of in-house MIS database and applications;
3. Enhance MIS processes from time to time in order to formulate appropriate strategies to improve the asset quality of the Bank’s loan portfolios;
4. Assist in performing UAT of credit risk related projects;
5. Prepare Credit Risk RWA analysis report;
6. Prepare post-monitoring report on new Basel III Framework;
7. Complete any other related tasks assigned by team head or management.

Requirements:

1. Degree holder in Mathematics, Statistics, Risk Management, Finance or related discipline.
2. Minimum of 3 years’ experience in credit risk analytics and management reporting in banking is preferred.
3. Experience in Basel III RWA implementation, risk data aggregation, risk analytics, portfolio management is preferred.
4. Proficiency in SAS, VBA, MS Office, and data mining skill set.
5. Self-motivated, detail-minded, organize and able to work independently
6. Good communication and interpersonal skills
7. Good command of written and spoken English and Chinese (including Putonghua)

For more details about career opportunities with the Bank, please visit our website http://www.cncbinternational.com/careers/en/index.jsp. Please apply with full resume stating current and expected salaries.

Personal data collected will be used for recruitment related purposes only. Applicants not invited for interview within 6 weeks may consider their applications unsuccessful. However, applicants may be considered for other suitable positions within the Group for a period of not more than 2 years. Personal data will be destroyed at any time after 3 months.

China CITIC Bank International is committed to being an equal opportunities employer and intends to provide a work environment free of unlawful discrimination or harassment. All employment decisions will be made in a non-discriminatory manner.