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

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 Manager, Data Analytics and CRM (Risk)
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.
• 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.
• Conduct analysis and insight generation to support Fraud / Financial Crime risk mitigation and Anti-money laundering.

Requirements

• 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
• Proficient in SAS, SQL and Microsoft R/Python. Knowledge in Visualization tools (e.g. QlikSense, Data Studio, Tableau), GCP, Big Query, 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
• 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

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