Data Assistant

CENTERBOOK ASIA PTE. LTD.

Penarth, High Street

On-site

GBP 35,000 - 55,000

Full time

14 days+

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Job summary

CenterBook Asia is seeking a Data Assistant to support data capture workflows underpinning our systematic trading efforts. You will work with Python (pandas), SQL, and Jupyter to manage and validate data inputs from external vendors.

You will also use Git for version control and Claude Code tools for AI-related tasks to ensure accuracy and timely outputs. The role involves coordinating with internal teams and external data vendors, maintaining data configurations, and producing routine risk and

Qualifications

  • Proficient in Python with pandas for data workflows.
  • Strong SQL querying and analysis with Jupyter notebooks.
  • Version control using Git in a config-driven environment.
  • Experience with AI development tools such as Claude Code and reviewing AI outputs.

Responsibilities

  • Support day-to-day data capture of external vendor data for risk models, signal data, and funds positions.
  • Monitor validation emails and coordinate with vendors and internal teams to resolve data issues.
  • Maintain and update signal data configurations by onboarding new signals and applying corrections with internal/external sources.
  • Execute scheduled reporting workflows for the Research team, including risk data extracts and monthly reports.

Skills

Python
SQL
Jupyter
Claude Code
Communication
Attention to detail

Tools

Git

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
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