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If you’re looking for a career where you can make a real impression, join HSBC 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, HSBC offers opportunities, support and rewards that will take you further.
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 calibre professional to join our team as Senior Data ScientistPrincipal responsibilities
Assist the commercial bank leaders on bringing in new insight and contributing to the design of advanced analytical solutions to facilitate business strategy formulation for the APAC region
Support senior management's decision making processes by conducting customer centric analysis to identify business opportunities
Contribute to innovation initiatives and overall analytics strategy under the regional data and analytics head
Involve in projects for transforming the analytics capabilities in the region such as development of machine learning algorithms to handle big data and data visualization
Help shape the future of the analytics within the Commercial Banking function as we move to GCP
Advocate and promote the use of data science to drive fact based activity and behavior in CMB in the region
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 Analytics community
University degree in Computer Science, Finance, Statistics, Mathematics or any other quantitative related discipline, PhD or Master degree is highly preferred.
Significant experience in relevant expertise, 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, SQL or good experience with data visualization tools such as Qlik or Tableau will be a strong plus
Experience in commercial bank is a plus but not necessary
Interested in staying up to date on the latest advanced analytics and big data technologies. Possess good business sense of their application in the commercial banking business
You’ll achieve more when you join HSBC.
www.hsbc.com/careersHSBC 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.
To be considered for this role, the relevant rights to work in Hong Kong is required.
Issued by The Hongkong and Shanghai Banking Corporation Limited.