CRM Data Analytics Manager (12M Renewable Contract) to HKD50K pm
Title: CRM Data Analytics ManagerDuration: 12-month contract (renewable) Salary: up to HKD 50,000 per month (depending on experience)
** Chinese Language Required We are currently seeking high caliber professionals to join our department as
Manager Data Analytics and CRM (AI/Machine Learning) Principal Responsibilities: - 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 / Collection / Underwriting Operations
- 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 AI 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
Requirements: - University degree in 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 AI/ML 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
