Data Reliability Engineer, Cubist
Job Description
- Ensure smooth day-to-day implementation of a large research infrastructure and the timely delivery of comprehensive and error-free data to Cubist’s portfolio managers across the globe \n
- Serve as a frontline owner for mission-critical data ETL pipelines that power trading and investment decision-making, ensuring reliability, accuracy, and timeliness. \n
- Actively manage and resolve data incidents in a fast-paced trading environment, partnering closely with investment professionals, data scientists, and external data vendors. \n
- Design and build tooling, automation, and robust documentation to improve operational efficiency, scalability, and data quality across the platform. \n
- Play a hands-on role in daily data operations, including data validation, remediation, and enrichment, with opportunities to continuously improve and modernize workflows through engineering best \n
- Commitment to the highest ethical standards \n
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What’s required
\n\n• Bachelor’s degree in computer science or a related field.
\n• Strong proficiency in SQL Server and Python programming, with experience in AWS and both Windows and Linux environments(KN1) .
\n• Exceptional attention to detail with a strong appreciation for well-defined processes and systems.
\n• 3+ years of experience in a client-facing support or operations role.
\n• Excellent organizational, communication, and interpersonal skills.
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About Point72
\n\nPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. t .
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