| Job Description: |
Responsibilities: - Design, develop, and maintain data mastering workflows using MarkitEDM or equivalent enterprise data management platforms
- Support end-to-end mastering logic for security reference data — including equities, fixed income, derivatives, and structured products — across multiple upstream vendor feeds
- Build and optimize data quality rules, survivorship logic, and golden record frameworks to ensure downstream data consumers receive clean, trusted data
- Integrate with industry data vendors (Bloomberg, ICE, etc.) and map vendor schemas to internal data models
- Troubleshoot production data issues, perform root cause analysis, and implement sustainable fixes with minimal business disruption
- Perform ad-hoc data analysis and communicate findings clearly to technical and non-technical stakeholders
- Collaborate with Data Governance, Front Office Technology, and Operations teams to define mastering rules, resolve data conflicts, and onboard new data domains
- Contribute actively to team objectives in a collaborative, outcomes-driven environment
Qualifications: - 5+ years of experience in data engineering, data mastering or MDM-focused roles within financial services or asset management
- Hands-on experience with MarkitEDM or equivalent platforms
- Strong understanding of security reference and pricing data – including identifiers, corporate actions, asset classifications, and multi-vendor data sourcing
- Bachelor’s degree in Computer Science, Engineering, or a related field is required
- Proficiency in SQL, data modeling and ETL processes
- Familiarity with data quality frameworks, exception management workflows, and SLA-driven data operations
- Understanding of the financial services and asset management industry
- Ability to work collaboratively within a team-oriented environment
- Strong communication skills to engage effectively across technical and business teams
- Demonstrated ability to troubleshoot and solve technical challenges independently
- Exposure to cloud data platforms (Snowflake, Azure, AWS) or orchestration tools (Airflow, dbt) is a plus
Desire to stay up to date with emerging technologies and contribute to the firm’s data innovation
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