Principal responsibilities：
? Provide subject matter expertise in the design, development and maintenance of compliance business analytics and models
? Assure that the model deployed in the region are fit-for-purpose by, where required, undertaking testing and/or validation and providing constructive challenge to the Global CA teams
? Deliver analytical work on regional initiatives (data quality reviews and enhancement, model calibration, development and implementation of local deviations/specificities when/where needed)
? Maintain relationships with regional stakeholders providing inputs to improve the performance of the models (EIR, Complex and Major Investigation, Fraud Risk, IMR, etc.)
? Deliver bespoke analysis and MIs helping Compliance and the Business take appropriate risk based decisions
? Support improvements to the systems and data infrastructure supporting deployment of the Compliance models
? Provide technical SME on the various systems and models used in the region

Requirements：
? Degree holder or above in Finance, Mathematics, Risk Management, Statistics, IT or a related field.

Experience：
? Experience in the banking industry, ideally more than 4 years; additional experience in management consulting and/or IT business analysis and project management welcomed
? Previous experience in Financial Crime / Fraud not required but a plus

Skills：
? Team player able to work in a dynamic and multinational culture and cope with high pressure
? Sound judgment and problem solving skills, ability to think laterally
? Strong analytical and statistical skills with the ability to organize and analyse multiple, complex data sets, to draw clear business conclusions and present them clearly to non-scientific stakeholders
? Strong database skills, including working with advanced data sets, advanced database and statistical functions and methods; hands on experience using Python, SAS, SQL, Ali Cloud, Big Data (Hadoop), Visualization tools (Tableau, Qlikview, Spotfire) and Excel (advanced), especially proficient in Python.
? Experience or strong demonstrable interest in recent machine learning techniques