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

Responsibilities:

  • 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 alexey@ucptl.com 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.