Business Data Scientist - Wholesale

Job description

Job Description

Some careers grow faster than others.

If you’re looking for a career that will give you plenty of opportunities to develop, join HSBC and your future will be rich with potential. 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 a Business Data Scientist.

Principal Responsibilities
  • Develop innovative and impactful data-based tools and models for fraud detection and risk mitigation
  • Contribute to innovation initiatives and overall analytics strategy under the global fraud analytics head
  • 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 Analytics community
  • Keeping up to date on the latest advanced analytics and big data technologies. Engage with academia on shared research topics related to fraud


  • Proficiency in using Python, SQL, or similar analytically oriented programming languages
  • University degree in Computer Science, Finance, Statistics, Mathematics or any other quantitative related discipline, PhD or master’s degree is highly preferred
  • 3+ years of relevant experience, preferably in banking and financial sector, or in fraud detection
  • In depth knowledge and experience with machine learning techniques and algorithms. 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 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
  • Attention to details, with good communication and presentation skills
  • Solid technical skills in MS Excel and PowerPoint. Knowledge in other business intelligence or analytics tools will be advantageous
  • Fluent written and spoken English
You’ll achieve more when you join HSBC.

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 Hongkong and Shanghai Banking Corporation Limited.

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