Data science roles

Several firms pioneering the use of alternative data in fundamental investing have engaged us to help build out their data science teams. At present these include: 

  • Technology focused fund with over $10bn in assets under management looking to expand its data science team.
  • Multi-strategy fund with over $10bn in AUM looking to hire sector specialists with data science experience.
  • Global fund focused on Asia, with over $5bn in AUM looking to establish a data science team.
  • Stealth-mode data science firm with a long list of hedge fund clients.

Our partners' data science teams typically have two core work-streams:

  • Engineering involves the build-out of ETL pipelines to Extract, Transform, and Load data from various sources. Such sources usually include public repositories, data vendors, as well as proprietary scrapers.
  • Analysis involves the use of various statistical methods to identify noteworthy relationships. For example, you might find that a particular publicly accessible time series is highly correlated with a publicly traded company's revenues.

Whil there are opportunities for specialists in either area, the most sought-after candidates usually have some background in both engineering and analysis

Job details


  • You would join a team tasked with sourcing and analysing data for use in fundamental equity research.
  • You would be expected to help drive innovation by delivering original ideas.

Necessary qualifications:

  • Familiarity with data mining and modeling techniques.
  • Strong knowledge of Python.
  • Knowledge of R a plus.
  • Fundamental equity research experience a plus.
  • Data visualisation (Tableau, D3.js) experience a plus.

Most of the firms we work with are based in New York. Compensation is above the industry standard.

How to apply

Please send your resume to with the subject "Data science role".

If you have particularly relevant research or work experience, please make a note of it in the body of your email.