Manager Data Analytics and CRM (Risk)

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join Hang Seng and discover how valued you’ll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, Hang Seng offers opportunities, support and rewards that will take you further.

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