Manager Data Analytics and CRM

• Mine, analyze and model large structured and unstructured data and apply advanced statistical, predictive models and leading machine learning algorithms to explore strategic solutions and actionable recommendations in risk domains covering Fraud / Financial Crime / Anti-money Laundering
• Keen to take initiatives to translate business problems into analytics-led solutions with appropriate methodology, manage the business application effectively and evaluate the results rigorously
• Highly sensitive to state of business and anticipative of business problems and priorities
• Ensure timely and quality analytics deliverables to satisfy business needs effectively under the dynamic business environment
• Collaborate with different teams to ensure the successful implementation of analytic/machine learning solutions with well-defined performance measurement
• Sharing knowledge and good practice, working collaboratively with different parties 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

• University degree in Statistics, Mathematics, Computer Science, Information Systems or other related discipline
• Minimum 6 years' banking experience in analytics, modelling and machine learning/AI
• Extensive experience and skill in mining massive volume of data for quick insight discovery
• In depth knowledge and experience with machine learning/AI techniques and algorithms
• Experience in Python, SQL/BigQuery, Tableau/QlikSense on environments such as Google Cloud Platform (GCP) is a must, previous experience or knowledge in risk domains is a plus
• Ability to communicate with impact, with the capacity to ensure complex information is articulated in a meaningful way to a wide and varied audience
• Effective communication, interpersonal, organizational, problem solving, presentation skill and strong business acumen
• Great sense of ownership and servicing mind-set to ensure efficient and effective customer service delivery

previous experience or knowledge in risk domains

• Dynamic working environment
• Good career development opportunities
• Competitive compensation packages