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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in SQL and Python, with hands-on experience in troubleshooting data issues and building data quality metric reports. Strong understanding of financial instruments and markets, coupled with the ability to communicate effectively with both technical and non-technical audiences.
Highest-signal resume keywords
SQL ProficiencyPython ProficiencyData Quality Metric ReportingFinancial Instruments KnowledgeData Governance Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData TroubleshootingAd-Hoc ScriptingData Quality MetricsData GovernanceRunbook ProceduresData Storage AccessBloomberg TerminalAI CLI Exposure
Soft Skills
Critical ThinkingCalm Under PressureEffective Communication
Tools & Technologies
Oracle SQLPandasNumpyPyplotSparkS3AthenaAirflowBloomberg Excel API
Industry Keywords
Financial InstrumentsFuturesOptionsCryptoGlobal Exchanges
Tech Stack
Tools & technologiesAirflowNumpyOraclePandasPythonSparkSQL
About the role
Key responsibilities & impact- Support the onboarding, management, and maintenance of datasets used by traders and quantitative researchers
- Monitor and support production of end-of-day valuation and reference data used for PnL
- Provide evening coverage to bridge global support windows
- Respond to global requests via Slack and email to create, update, and troubleshoot financial instrument reference data
- Investigate data behavior by tracing issues through source systems, feeds, and business logic
- Diagnose data problems under pressure and build ad-hoc scripts or tooling to resolve them
- Work across reference data and valuation data stores and related tooling
- Escalate and collaborate with engineering and other Data Management teams on systemic issues
Requirements
What you’ll need- 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
- Familiarity with Oracle SQL
- Familiarity with Python requests, pandas, numpy, pyplot, and Spark libraries
- Familiarity with Bloomberg back-office files
- Familiarity with S3/Athena
- Familiarity with Bloomberg Terminal and Bloomberg's Excel API plug-in is helpful
- Exposure to solving problems/workflows using AI CLI is a bonus
- Exposure to Airflow scheduling is a bonus
- Knowledge of financial instruments and markets, particularly futures, options, and crypto across global exchanges
- Calm under pressure with strong critical thinking
- Ability to assess impact and respond with the appropriate urgency and context
- Comfortable communicating with global technical users via Slack and email
- Ability to explain data behavior to technical and non-technical audiences
- Experience building data governance rules/controls
- Experience writing runbook procedures for resolving support issues
Benefits
Comp & perks- Annual discretionary bonus
- Group medical insurance
- Pharmacy insurance
- Dental insurance
- Vision insurance
- 401k with discretionary employer match
- Short-term disability insurance
- Long-term disability insurance
- Life insurance
- AD&D insurance
- Health savings accounts
- Flexible spending accounts
- Hybrid work schedule
- Remote work may be possible for the right candidate