Cubist is seeking a Data Analyst to join its data services group. This role is crucial for ensuring the timely delivery of comprehensive and error-free data to systematic Portfolio Managers. The Data Analyst will be a member of a small team of Data Scientists/Analysts and play a vital role in the smooth implementation of a large research infrastructure, supporting the live production trading.
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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Point72
Point72 is a global alternative investment firm employing fundamental and systematic investing strategies across diverse asset classes and geographies. The company focuses on delivering superior returns for its investors, supported by a technology group that enhances IT infrastructure and embraces open-source solutions and agile methodologies. Point72 cultivates an investor-led culture, prioritizing innovation and attracting top talent while investing in employee growth, well-being, and career development.