Assistant Data Analytics and CRM Manager (RISK) - Hang Seng Bank (HK)
Mongkok, HONG KONG IT development
Job description
Job description
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
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
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Extensive experience and skill in mining massive volume of data for quick insight discovery
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Proficient in SAS, SQL and Microsoft R/Python. Knowledge in Visualization tools (e.g. QlikSense, Data Studio, Tableau, Looker), GCP, Big Query, Feedzia, digital data is an advantage.
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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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