Customer Value Management

We are currently seeking high caliber professionals to join our department as Manager Analytics and Modelling (Fraud).
 
Principal Responsibilities

• 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

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