Cubist Data Analyst

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

 

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Last updated on Jan 9, 2024