Data Assistant

CENTERBOOK ASIA PTE. LTD.; Singapore; On-site; SGD 42,000 - 68,000; Full time

Job summary

CenterBook Asia Pte. Ltd. is seeking a Data Assistant to support data capture workflows for our systematic trading efforts. You will work with external vendor data, validate inputs for trading, and enhance data accuracy using Python and pandas.

The role requires SQL querying, using Jupyter notebooks, and Git collaboration. Experience with Claude Code and strong communication are valued, with 2–5 years in data management or related roles preferred.

Qualifications

• Proficient in Python for reading, running, and modifying scripts using pandas.
• Skilled in SQL and Jupyter for querying and analyzing data.
• Experienced with Git for version control and collaboration on data configuration and code.
• Hands-on experience with AI development tools such as Claude Code.
• Strong communication skills to coordinate with internal teams and external data vendors.
• Meticulous attention to detail in managing data and processes.

Responsibilities

• Support day-to-day data capture of external vendor data including risk models, signal data, and partner funds position data.
• Monitor daily data capture validation emails and promptly communicate with external vendors and internal teams to resolve data issues.
• Maintain and update Signal data configurations by onboarding new Signals and applying corrections with internal and external sources.
• Execute scheduled reporting workflows for the Research team, including generating risk data extracts and monthly reports.

Skills

Python

Communication

Attention to detail

Tools

SQL

Jupyter

Git

Claude Code

Job description

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