Data Steward: Production Data & PnL (Hybrid)

DRW Holdings, LLC.

Chicago (IL)

Hybrid

USD 100,000 - 120,000

Full time

8 days ago
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Benefits offered by this job

Medical insurance
401k match
Discretionary bonus
Dental and Vision

Job summary

DRW is a diversified trading firm with decades of experience, and this Data Analyst, Stewardship role sits in a high‑velocity environment in Chicago or Houston. You will own onboarding, maintaining datasets used by traders and researchers, and work with technology, front office, operations, research, and risk teams.

The role focuses on production support for EOD valuation data and reference data, with a global support queue and collaboration with engineering to implement recurring fixes into

Qualifications

  • Proficiency in SQL and Python with data troubleshooting experience.
  • Experience with Oracle SQL, Bloomberg back-office-files, S3/Athena.
  • Knowledge of futures, options, crypto and global markets.
  • Ability to build data governance rules and runbooks.

Responsibilities

  • Monitor production of EOD valuation data and reference data.
  • Respond to global requests via Slack and email to manage reference data.
  • Investigate data behavior by tracing sources and business logic.
  • Diagnose data problems quickly and build ad-hoc scripts.
  • Work across reference and valuation data stores and tools.
  • Escalate issues with engineering and Data Management teams.

Skills

SQL
Python
Data troubleshooting
Ad-hoc scripting
Data quality reporting
Data governance
Communication

Tools

Oracle SQL
Bloomberg back-office-files
S3/Athena
Bloomberg Terminal
Airflow
Spark

Job description

DRW is a diversified trading firm with decades of experience, and this Data Analyst, Stewardship role sits in a high‑velocity environment in Chicago or Houston. You will own onboarding, maintaining datasets used by traders and researchers, and work with technology, front office, operations, research, and risk teams.

The role focuses on production support for EOD valuation data and reference data, with a global support queue and collaboration with engineering to implement recurring fixes into

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