Assistant Data Analytics and CRM Manager (RISK) - Hang Seng Bank (HK)

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 

· 
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, Looker), GCP, Big Query, Feedzia, 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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