Data Analyst

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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

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology