Cubist Data Analyst

Posted:
3/27/2025, 6:47:30 AM

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Data & Analytics

Workplace Type:
On-site

Pay:
$114k–$400k/yr

ROLE

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s data services group is looking for a Data Analyst to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will be a member of a small team of Data Scientists/Analysts who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. 

RESPONSIBILITIES 

  • Identifying potential data sources
  • Coordinate with compliance team and legal team on new vendor trial/subscription process 
  • Assist with collecting and maintaining overviews and vendor content offering
  • Assist with data questions and requests from investment teams
  • Setting up feed download and monitor check in database
  • Monitoring the automated data collection and cleansing infrastructure
  • Coordinating meetings and conference calls between data users and experts.
  • Assist in organizing presentations
  • Handle user requests and answer questions about data
  • Download trial datasets from vendor FTP sites or other delivery mechanism
  • Assist Data Team with manual data processing as required
  • Maintain Cubist Data Wiki contents 

REQUIREMENTS 

  • Basic level programming experience in Python and SQL. Experience with AWS and Airflow preferred but not required
  • Financial industry experience preferred but not required
  • Strong organization, communication and interpersonal skills
  • Attention to detail and a love of process
  • Strong oral and written communication skills
  • Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
  • Ability to multitask and prioritize assignments