Summary
CenterBook Asia is a systematic investment manager with US$1.4 billion in assets under management. The Data Assistant supports the core data workflows behind our systematic trading effort, starting with supporting well-defined, process-driven data capture tasks, with a potential for career growth in the development of our data capture platform.
Responsibilities
Support day-to-day data capture of external vendor data including risk models, signal data, and partner funds position data to ensure accurate inputs for trading activities
Monitor daily data capture validation emails and promptly communicate with external vendors and internal teams to resolve data issues and support trading operations
Maintain and update Signal data configurations by onboarding new Signals and applying corrections in coordination with internal teams and external sources
Execute scheduled reporting workflows for the internal Research team, including generating Risk Committee data extracts and monthly research reports to support decision-making
Required competencies and certifications
Proficient in Python for reading, running, and modifying existing scripts using pandas to manage data workflows
Skilled in SQL and Jupyter for querying and analyzing data within a config-driven workflow environment
Experienced with Git for version control and collaboration on data configuration and code
Hands-on experience with AI development tools such as Claude Code, with the ability to critically review AI outputs for accuracy and relevance
Strong communication skills to coordinate effectively with internal teams and external data vendors
Meticulous attention to detail in managing data and processes to ensure accuracy and reliability
Preferred competencies and qualifications
Prior exposure to equities or financial markets
2 to 5 years of relevant experience in data management or related roles
CenterBook addresses a central challenge for asset owners: how to access mid/long-term fundamental equity alpha without high tracking error and/or performance inconsistency to the benchmark. CenterBook utilizes a multi-manager approach and partners with established independent fund managers, capturing alpha from proprietary research data and constructing portfolios centrally and systematically.