About the Role
As a Data Analyst, Stewardship, you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with stakeholders across technology, front office, operations, research, and risk management.
This role is built around production support: keeping EOD valuation data and reference data used for PnL production running correctly, and being the person who catches, diagnoses, and fixes data problems before they flow to downstream applications.
- 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.
Requirements
- Proficiency in SQL and Python
- Hands-on experience troubleshooting data issues or writing ad-hoc scripts to fix problems quickly
- Experience standing up tactical fixes in a scheduling environment
- Experience building data quality metric reports
- Comfortable accessing different types of data storage and file formats
- Comfortable with financial instruments and markets well enough to understand what the data represents, particularly for futures, options, and crypto on all asset classes 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
- Comfortable fielding requests from a global, technical user base across Slack and email
- Able to explain data behavior clearly to non-technical and technical audiences alike
- Experience building data governance rules/controls
- Experience writing runbook procedures for resolving support issues
- 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 is helpful
- Exposure to solving problems/workflows using AI CLI, Airflow scheduling, is a bonus
- Comfortable investigating complex data support issues in a fast-paced environment
What You'll Get
- $100k–$120k base salary
- Group medical, pharmacy, dental and vision insurance
- 401k (with discretionary employer match)
- Short and long-term disability
- Life and AD&D insurance
- Health savings accounts
- Flexible spending accounts