Manager Analytics and Modelling (Fraud) - Hang Seng Bank (HK):0000ES5N
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.
Manager Analytics and Modelling (Fraud)
Customer Value Management
Mine, analyze and model large structured and unstructured datasets and apply advanced statistical predicative models and leading machine learning algorithms to explore strategic solutions and actionable recommendations for fraud risk mitigation and Anti-money Laundering Creatively translate business problems into data science initiatives with appropriate methodology, manage the business application effectively and evaluate the results rigorously Collaborate with Group and offshore centre for different analytic solutions implementation and cross-reference sharing Contribute to team development, effectiveness and success by sharing knowledge and good practice, working collaboratively with others to create a productive, diverse and supportive working environment Adhere to HSBC policy, procedures and control requirements applicable to day-to-day working, exceptional and project activities
We are currently seeking high caliber professionals to join our department as Manager Analytics and Modelling (Fraud).
Requirements University degree in Mathematics, Statistics, Computer Science or other related discipline Minimum 8 years' working experience in analytics, modelling and machine learning With solid experience of customer analytic and machine learning in banking industry and the application of business insight into Fraud Risk Mitigation and Anti Money Laundering Self-motivated, able to work effectively and remain positive under pressure Passionate and willingness of continue learning Proficient in SAS (covering base SAS, SAS STAT, Enterprise Miner) and Microsoft R/Python (SciKit-Learn, Keras, TensorFlow, Theano and etc.) Comfortable with mining massive volume of data for quick insight discovery Being curious to identify root causes and long-term solutions Able to bring divergent ideas together to create new and innovative solutions Effective communication, interpersonal, organizational, problem solving, and presentation skills Detail-oriented and zero tolerance on quality/accuracy issue Great sense of ownership and servicing mindset to ensure efficient and effective deliverables
The health and safety of our employees and candidates is very important to us. Due to the current situation related to the Novel Coronavirus (2019-nCoV), we’re leveraging our digital capabilities to ensure we can continue to recruit top talent at the HSBC Group. As your application progresses, you may be asked to use one of our digital tools to help you through your recruitment journey. If so, one of our Resourcing colleagues will explain how our video-interviewing technology will be used throughout the recruitment process and will be on hand to answer any questions you might have.