Data Scientist - Global Banking and Markets
HSBCHong kongUpdate time: October 29,2019
Job Description

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 Global Banking and Markets is an emerging markets-led, financing-focused business that provides investment and financial solutions. Through our international network, we connect emerging and mature markets, covering key growth areas. We partner with our corporate, government and institutional clients to help them achieve consistent, long-term performance. Our products and services include advisory, financing, prime services, research and analysis, securities services, trading and sales and transaction banking.

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

In this role, you will

  • ​Work on the end to end flow of a broad range of analytics use cases to deliver real business value
  • Closely engage with business stakeholders and understand the problem, assist data engineers in securing and processing the data required
  • Build and test the appropriate model that gives insight or a solution to the problem, overseeing the deployment into production
  • Assist to rapidly implement insights from data that can help drive more informed decision making
  • Work closely with technology teams to aid the delivery of GBMs effective data architecture and data ingestion, articulate the feasibility and constraints on the implementation and manage stakeholders expectation
  • Ensure Asia Pacific data analytics agenda fits into other regional and global initiatives to support wider business objectives and maximize profitability
  • Upkeep appropriate processes, procedures, documentations, governance while using data and while providing outputs to stakeholders
  • Establish good communication platform to ensure all stakeholders are kept fully informed on the latest activities of the data commercialization strategy and drive usage

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

  • ​University Degree in applied mathematics, statistics, machine learning, quantitative finance or related scientific area
  • Deep understanding of the theoretical grounds of machine learning and of the corresponding mathematical framework. Strong statistical knowledge is an asset for this position
  • Strong programming skills including Python with exposure to Data Science or Visualization packages such as SciKit Learn, Keras, Tensorflow or Plotly
  • Experience in delivering data science solutions into production
  • Preferably an understanding of distributed compute environments such as MapReduce, Hadoop, Spark, H2O
  • Financial institution experience is preferable but not essential
  • Excellent communication skills, ability to engage with different stakeholders and to synthesize requirements into clear problem statements and proposals

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

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 Hongkong and Shanghai Banking Corporation Limited

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