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Senior Data Scientist - Commercial Banking

Job level Senior
Location
Within Hong Kong
Industry Banking
Job function Banking / Finance > Corporate Banking
Banking / Finance > Corporate Finance
Banking / Finance > Others
Published On 28/10/2019
ref. 0000DPNE

Some careers grow faster than others.

If you’re looking for further opportunities to develop your career, take the next step in fulfiling your potential right here at HSBC. 

HSBC Commercial Banking serves millions of businesses ranging from small, to large corporates, providing commercial customers with a full range of banking services including Global Trade and Receivables Finance, RMB solutions, multi-currency business accounts, payments and cash management, and wealth management and insurance, as well as a comprehensive range of financing solutions. With dedicated Relationship Managers and Product Specialists providing local support and advice in over 60 countries and territories, HSBC helps connect customers to opportunities. 

We are currently seeking a high caliber professional to join our team as Senior Data Scientist. 

In this role, you will

  • ​Identify new use cases for data science for business growth or risk mitigation
  • Help shape the future of the analytics within the Customer Intelligence function as we move to GCP
  • Conduct customer centric analysis to identify opportunities and risks support various projects to fulfill Global CMB SBO strategy
  • Advocate and promote the use of data science to drive fact based activity and behaviour in CMB Globally
  • Engage various stakeholders to understand and collect project requirement, present analysis and or results, make recommendations on strategy formulation and solicit project feedback
  • Work with and leverage solutions and approaches developed by the wider HSBC Global Analytics community 

To be successful in this role, you should meet the following requirements

  • Several years of relevant experience, preferably in banking and financial sector
  • Proficiency in using Python, R, or similar analytically oriented programming languages
  • In depth knowledge and experience with machine learning techniques and algorithms, such as Generalized Linear Model, Clustering, SVM, Random Forests, kNN, Naïve Bayes, Artificial Neural Network, etc
  • Experience with cloud analytics platforms such as GCP, Azure and AWS and big data platforms such as Hadoop, Spark, etc.
  • Extensive technical skill in data mining, able to understand various data structures both structured and unstructured and common methods in data transformation
  • High technical aptitude, problem solving abilities, intellectual curiosity, motivation, and passion for data discovery
  • Open minded and self motivated with good communication and interpersonal skills as well as strong sense of responsibility
  • Knowledge of SAS and or SQL is a plus
  • Solid technical skills in MS Excel and PowerPoint. Knowledge in other business intelligence or analytics tools will be advantageous
  • Fluent written and spoken English

For further details and application information please visit our career site, search under reference number 0000DPNE 

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. 

Issued by The Hong Kong and Shanghai Banking Corporation Limited