Information Technology

The Data Management Office of Hang Seng develops and executes Data and Record governance to improve the Bank’s data environment and maximising the value of data assets. The data anlytics team is a new transveral function that supports the banks data analytics. Data analytics would be the bridge between technology and business. HASE’s strategy in building a data driven culture would be via heavy usage of data analytics to enable key business decions.

We are currently seeking a high caliber professional to join our department as  Data Science and Modelling Analyst.

Principal responsibilities

• Reporting to the Manager, Data Analytics, and assist the Chief Data Officer of HASE to lead and support a data-driven strategy in the Bank, and have direct accountability of the bank’s data analytics.
• Collaboration with GB / GF, FCC, HOST to understand the banks data analytical needs
• Expertise in data science, modelling and programing to support the banks analytic capacity
• Take ownership of know-how and be the banks consultancy, advisor the bank’s analytic teams, and assist them to obtain the intelligence to be acquired.
• Work in partnership with IT on the cloud management. This includes
• Utilization of tools available in cloud to better serve the analytics
• Risk and third party management of the cloud vendor.
• Take initiative to identify best practices, industry norms etc on the evolution of business analytics. This can be achieved through participating in industry forums, Fin-tech related seminars
• Assist to build the target supporting model for data analytics.

Requirements:

• University degree in related disciplines
• Relevant experience in Data Science, Modeling and some scripting; solid experience in traditional data warehouse or cloud based data management an advantage
• Strong data project management, business process analysis and numerical skills
• Attention to detail combined with a strong delivery focus and ability to meet  aggressive timeframes with quality results
• Proven track record using data management tools, and demonstrated knowledge of data structure, data systems/tools and related software and data management policies and practices in a complex organizational environment
• Strong relationship management capabilities, with great influencing skills and gravitas
• High effective negotiation and interpersonal skills, with the ability to work a high degree of autonomy combined with a decisive collaborative nature
• Excellent presentation, written and verbal communication skills
• Ability to interact and build relationship with all levels of internal and external stakeholders
• Great sense of ownership and servicing mindset to ensure efficient and effective customer service processes

All information provided by applicants will be used only for recruitment purposes and will be used strictly in accordance with the Bank's personal data policies, a copy of which may be obtained by the applicant upon request. Unless otherwise instructed in writing by the applicant concerned, applicants may be considered for other suitable positions within the Bank and its related companies. The personal data of unsuccessful job applicants may be retained for a maximum of two years from the date when the job application is rejected and such data may be retained for a longer period if there is a subsisting reason that obliges the Bank to do so, after which the personal data will be destroyed.