Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

We are currently seeking an experienced professional to join our team in the role of Consultant Specialist.

Business: Data Markets

Principal responsibilities:

•Reporting to the Head of Data Science, and assisting the Head of Data and Analytics of Hang Seng to lead and support a data-driven strategy in the Bank, and have direct accountability of the bank’s data science.
•Collaboration with Global Businesses and Global Functions to understand the bank's needs of data analytics and machine learning models.
•Expertise in data science, modelling and programing to support the banks analytic capacity
•Take ownership of know-how and be the bank's consultancy, advise the bank’s analytic teams, and assist them to obtain the intelligence to be acquired.
•Advise the best data science solutions - from data source, analysis, predictive modeling, advanced analytics, insights to users.
•Work in partnership with IT on cloud management and utilize the cloud tools to better serve the analytics and model building.
•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. •Reporting to the Head of Data Science, and assisting the Head of Data and Analytics of Hang Seng to lead and support a data-driven strategy in the Bank, and have direct accountability of the bank’s data science.
•Collaboration with Global Businesses and Global Functions to understand the bank's needs of data analytics and machine learning models.
•Expertise in data science, modelling and programing to support the banks analytic capacity
•Take ownership of know-how and be the bank's consultancy, advise the bank’s analytic teams, and assist them to obtain the intelligence to be acquired.
•Advise the best data science solutions - from data source, analysis, predictive modeling, advanced analytics, insights to users.
•Work in partnership with IT on cloud management and utilize the cloud tools to better serve the analytics and model building.
•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.