Job description

In this role, you will:

 

The job accountabilities of this role are:

  1. The suitable candidate should be a self-driven person and a leader by nature in taking full ownership of the deliverables. One should be technically profound and fully loaded with business acumen and communication skills. One will work hands-on with the Enterprise Data Warehouse and Jupyter environment for data and modeling process, and are required to deliver the results in a logical and ethical way to the stakeholders.
  2. Design, formulate, and implement relevant solutions for the identified analytics project and convert analytical findings/solutions that will lead to achieving business goals (revenue growth, anti-attrition, and increasing customer engagement, etc.). During the process, closely collaborate with relevant teams/parties to obtain the supports required for these tasks.
  3. Use company provided software tools to extract, collect, manipulate (e.g. subset and merge) raw data to prepare for further analysis. Then apply the appropriate analytics frameworks, statistic procedures or machine learning algorithms to analyze the data in order to provide actionable analysis findings. Interpret and present quantitative information as well as the findings in proper context so as to help in the investigations and decision making of the business.
  4. To design and develop robust, relevant data mining solutions – descriptive or predictive, the incumbent should flexibly and innovatively apply diverse modelling methods including (but not limited to):  decision tree, clustering, logistic regression, gradient boosting, neural network, random forest, support vector machine etc. 
  5. Manage the timely delivery of output and effectively communicate with all stakeholders.

 

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and where 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. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

Requirements
  1. Bachelor (minimum with 5+ year experience) or Master degree (with 3+ year experience) in relevant quantitative disciplines such as Statistics, Mathematics, Computer Science, Engineering, Operations Research, Physics or a related discipline with a focus on use of analytics and optimization to influence business decisions.
  2. Hands-on knowledge in one of the following data analytics domains: machine learning, natural language processing/generation, computer vision, deep learning and advanced analytics, business analytics.
  3. Strong retail banking products or wealth management business knowledge and knowledge of profitability model, e.g. card, loan, mortgage, insurance, etc.
  4. Experienced in leveraging business analytics and machine learning algorithm to drive business growth, identify product proposition or enhance retail banking customer journey, etc.
  5. Experience in working with large volume of data with database systems or cloud e.g. SQL, NoSQL, Hadoop/Spark, AWS etc. Scripting language capabilities in Python, R, SAS, Java or Scala
  6. Knowledge of in any one or combination of advanced BI and Data tools e.g. QLIK, Tableau etc.
  7. Exceptionally strong organizational, problem-solving and communication skills. Ability to think creatively to drive innovative solutions
  8. Strong interpersonal skills and ability to build and maintain relationships.
  9. Strong communication skills, in particular the ability to produce high quality reports which are articulate and effectively deliver the right message to the recipients
  10. Excellent verbal and written communication skills in English.

 

***Issued by HSBC Electronic Data Processing (Guangdong) Ltd. GSC China***

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