Sector Data Specialist – Balyasny Asset Management L.P. (NYC, Chicago)


Balyasny Asset Management is looking for an exceptional data analyst to work alongside equities portfolio managers (PMs). In this position you will take ownership of the alternative data in your sector and work closely with PMs to build out data projects that will provide actionable investment insights for your teams. You’ll be involved during every phase of the process, including coming up with potential data ideas to investigate, building out processes to capture new data, and providing recommendations/interpretations of the data. Ultimately you will develop expertise in your sector as you learn how to apply data from a wide variety of sources to answer investment questions.

The right candidate will be equipped with skills that allow them to be self-sufficient in the process of finding data sources, performing ETL, analyzing and then presenting data results to their team. The role requires a high degree of autonomy during the research, planning and execution phases, therefore the candidate must be a self-starter with an entrepreneurial mind-set and have exceptional problem solving skills.


  • Collaborate with investment staff to brainstorm creative uses for data in the investment process
  • Conduct research autonomously to learn where data exists and how it can be retrieved and analyzed in order to help build investment theses
  • Work with portfolio managers to prioritize projects that show strong potential in answering questions on their stocks
  • Collaborate with data strategy team to discover new sources that can be beneficial for your sector
  • Build scripts that will our improve proprietary data evaluation process by making it more flexible or scalable across data sets
  • Design, develop, and deploy scripts and processes to connect various data sources (web, vendor databases, and unstructured survey data)
  • Monitor automated data collection and cleansing infrastructure
  • Analyze data using standard statistical tools and techniques
  • Pinpoint trends, correlations and patterns in complicated data sets to provide custom solutions to management


  • Pursuing Bachelors/Masters degree in Finance, Statistics, Computer Science or a related field
  • Strong analytical, data processing and programming skills (Python/SQL/Excel a must, VBA a plus)
  • Have experience with projects that leverage programming to perform modeling, visualization or web scraping tasks
  • Ability to explain technical concepts (programming/databases/stats) to non-technical audiences
  • Ability to make recommendations when faced with imperfect information
  • Strong oral and written communication skills, most importantly, must be a team player
  • Basic to intermediate understanding of financial models
  • LOCATIONS: New York + Chicago

Contact for more details:
Jules Biolsi
Melissa Cheung

Apply directly here.