Data Intelligence
Hong Kong, HK

What We Do

At Goldman Sachs, our Engineers don’t just make things we make things possible. Change the world by connecting people and capital with ideas.

Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.

Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.

Want to push the limit of digital possibilities? Start here.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more.

We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Market Data delivers analytics and reference data, both real-time and historical reflecting all major markets and financial instruments to our internal and external clients.

The Market Data Business Analyst team at Goldman Sachs are responsible for coordinating with internal business teams on the selection of products and ongoing management of the Firm’s market data spend with third party vendors.

The team provide guidance to internal users on data services appropriate for specific roles, coordinate expense management initiatives and provide data analytics to enable users to manage costs effectively.

The role provides the opportunity to directly contribute to managing the firms operating costs by building data analytics and automated workflow that help end-

users to manage their market data subscriptions effectively. You will be responsible for developing data collection, modelling and visualization analytics that correlate usage with user inventories.

The role will provide the opportunity to partner with divisional management and business unit leadership teams to implement expense management initiatives.



  • You will thrive in a work environment that requires strong problem solving skills and independent self-direction, coupled with an aptitude for team collaboration and open communication
  • Driving strategic initiatives and deliver key programs of work across Market Data and the broader division
  • Your detailed knowledge of market data vendor products and an understanding of the Goldman Sachs business functions will enable you to formulate strategies to reduce operating expenses
  • Building data analytics using popular storage and visualization technologies to empower market data users to manage their costs
  • Interface with divisional leadership and front office users to implement expense management initiatives
  • Continually evaluate the vendor landscape to identify new offerings that may increase value and efficiency for our employees who require access to market data

  • 2 years minimum experience in Market Data
  • Python and SQL programming skills
  • Experience of publishing and modeling data with distributed storage platforms such as Hadoop
  • Experience with using visualization software (Tableau, Qlikview or equivalent)
  • Preferred Qualifications

  • FISD’s Financial Information Associate certification
  • Proficient use of tier 1 market data vendor desktop software
  • General understanding of the capital markets
  • Experience of the MDSL MDM inventory system
  • Knowledge of data vendor and exchange licensing terms
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