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Develop and maintain business-level risk management framework, policy, guideline, standard, and operation procedures with reference to applicable best practices to algo-trading business;
Manage technological risk by ensuring controls are properly designed, implemented and operated for algo-trading business ;
Define core risk indicators; collect, analyze and interpret the corresponding statistics for assisting the manager in overseeing business risk;
Design and carry out credit risk stress-testing programmes according to trading business requirements. Review, enhance, implement and maintain core risk stress-testing models.
Identify control gaps, review the residual risk level and make recommendation for risk treatment;
Recommend technology risk and security control measures and monitor the implementation for major projects;
Analyse security events for detection, investigation and response to potential security issue;
Master or Bachelor Degree holder in Statistics, Quantitative Finance, Risk Management or relevant discipline;
Equip with Professional qualification in CFA/FRM with at least 5 years relevant experience in banking or financial markets;
Sound knowledge in Basel regulatory requirements and banking practices in credit risk management, with hands-on experience in latest risk management development; knowledge in counterparty credit risk is a plus;
Strong analytical mind, independent, good problem-solving and multi-tasks handling ability;
Good communication and interpersonal skills with good report-writing skills;
Good command of PC skills and programming such as SAS, Excel VBA, Access SQL, Python and Chinese word processing is an advantage. Knowledge in Fermat/Risk Authority and Bloomberg application is preferable;
Proficient in both spoken and written English and Chinese, fluent in Putonghua is preferable.