Manager, Data Analytics and CRM - Modelling (RISK) - Hang Seng Bank (HK)
- Employer
- Hang Seng Bank Limited
- Location
- Hong Kong, Hong Kong
- Salary
- Competitive
- Closing date
- Sep 26, 2023
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- Job Function
- Banking
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Job description
We are currently seeking a high caliber professional to join our department as Manager, Data Analytics and CRM - Modelling (RISK)
Principal responsibilities
We are currently seeking a high caliber professional to join our department as Manager, Data Analytics and CRM - Modelling (RISK)
Principal responsibilities
- 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
- 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.
- Explore the data and conduct quantitative analysis to ascertain root cause of business' issues, identifies opportunities and effective targeting for business growth potential
- Collaborate with different teams to ensure the successful implementation of analytic/machine learning solutions with well defined performance measurement
- Ensure timely and quality analytics deliverables to satisfy business needs effectively under the dynamic business environment
- Sharing knowledge and good practice, working collaboratively with different parties to create a productive, diverse and supportive working environment
- University degree in in Statistics, Mathematics, Computer Science, Information Systems or other related discipline
- Minimum 6 years' working experience in analytics, modelling and machine learning in banking industry
- Extensive experience and skill in mining massive volume of data for quick insight discovery
- In depth knowledge and experience with machine learning techniques and algorithms
- Solid hands on experience in SAS, Python and SQL. Knowledge of Big Query, cloud analytics platform such as Google Cloud will be an advantage
- 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
- Financial Crime or Fraud Analytics experience would be an advantage
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