Data Analyst, Stewardship

Overview

Data Analyst, Stewardship supports the production of EOD valuation and reference data used for PnL, keeping data correct and catching and fixing problems before they reach downstream applications.

What you'll do

• Monitor and support the production of EOD valuation data and reference data used for PnL, including coverage during evening hours to bridge global support windows.
• Respond to global requests via Slack and email to create, update, and troubleshoot financial instrument reference data.
• Investigate and explain why and how data appears the way it does, tracing issues back through source systems, feeds, and business logic.
• Diagnose data problems quickly under pressure and build ad-hoc scripts or tooling to resolve them.
• Work across reference data and valuation data stores and related reference data tooling.
• Escalate and collaborate with engineering and other Data Management teams on systemic issues.

What you'll need

• Proficiency in SQL and Python, with hands-on experience troubleshooting data issues or writing ad-hoc scripts to fix problems quickly.
• Experience standing up tactical fixes in a scheduling environment, building data quality metric reports, and accessing different types of data storage and file formats.
• Comfort with financial instruments and markets well enough to understand what the data represents, particularly for futures, options, and crypto across global exchanges.
• Calm under pressure, with strong critical thinking, able to assess the real impact of a request or problem and respond with the right level of urgency and context to pull in the correct teams.
• Comfort fielding requests from a global, technical user base across Slack and email, and explaining data behavior clearly to non-technical and technical audiences.
• Experience building data governance rules/controls and writing runbook procedures for resolving support issues.

Nice to have

• Familiarity with Oracle SQL, Python (requests, pandas, numpy, pyplot, and spark libraries), Bloomberg back-office files, S3/Athena, Bloomberg Terminal and Bloomberg's Excel API plug-in.
• Exposure to solving problems/workflows using AI CLI and Airflow scheduling.

Details

• Hybrid schedule: can sit in the Chicago or Houston office; remote may be possible for the right candidate.
• Non-traditional hours: 10:30am-7:30pm Central time.
• Annual base salary range $100,000 to $120,000 depending on experience, qualifications, and relevant skill set, plus eligibility for an annual discretionary bonus.