Assistant Data Analytics and CRM Manager (RISK) - Hang Seng Bank (HK)
Hang Seng Bank
- Hong Kong
- Permanent
- Full-time
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.
Data, Analytics and CRM
We are currently seeking a high caliber professional to join our department as Assistant Data Analytics and CRM Manager.Principal responsibilities:
- Mine and analyze large structured and unstructured datasets and apply advanced statistical methodology to explore strategic solutions and actionable recommendations to solve business problems.
- 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.
- Conduct analysis and insight generation to support business decision and risk control.
- 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.
- Collaborate with Group and offshore centre for different analytic solutions implementation and cross-reference sharing.
Requirements:
- University degree in in Statistics, Mathematics, Computer Science, Data and Information Management, Risk Management or other related discipline
- Minimum 3 years' working experience in analytics, management information, modelling and machine learning in banking industry, in depth knowledge and experience with machine learning techniques and algorithms is an advantage
- Extensive experience and skill in mining massive volume of data for quick insight discovery
- Proficient in SAS, SQL and Microsoft R/Python. Knowledge in Visualization tools (e.g. QlikSense, Data Studio, Tableau), GCP, Big Query, Fredzia, digital data is 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
- Positive mind-set and having a breakthrough attitude
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We are sorry but this recruiter does not accept applications from abroad.