Goldman Sachs
Hong Kong, HK


Responsibilities & Qualifications

We are looking for a highly motivated professional to join our Execution Services Research team. The team works closely with the trading platform engineers and business owners, to provide signals and models to improve Goldman Sachs execution capabilities.

Key responsibilities include but are not limited to :

  • Working with large, noisy, high-dimensional real-world datasets using statistical techniques
  • Developing novel models and validating them
  • Exploratory investigations of performance improvements
  • Supervision of projects from machine learning engineers and desk strats
  • Qualifications / Required Skills :

  • PhD in Computer Science (or Mathematics / Physics / Statistics), or strong background and equivalent practical experience in the field
  • Sound judgement, independent, responsible and with solid work ethic
  • Strong quantitative and problem solving skills with focus on the ability to formulate hypotheses, test them and distil them into practical models for use in trading algorithms, pre / post trade analysis, market-
  • microstructure research, visualization etc.

  • Strong base in probability and statistics, algorithms, linear algebra
  • Programming skills using modern languages, e.g. Python / R / C / C++ / Java
  • Experience with data science platforms, e.g. Tensorflow, PyTorch, Scikit-learn for Python
  • Ability to effectively communicate and present results highlighting the broader commercial and strategic impact
  • Required to work with significant volumes of data and systems
  • Ability to work in collaborative and time-sensitive environment
  • Interest in working in an international environment and working closely with colleagues in different offices
  • Publications in top tier machine learning venues
  • Preferred Qualifications :

  • Data science and machine learning background i.e. ability to perform data scrubbing, preprocessing, exploratory analysis, hypotheses testing, model fitting etc.
  • and familiarity with recent machine learning frameworks / libraries and status of the field

  • Interest in or familiarity with financial markets, products, sales and trading is a plus
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