Required Skills: Data engineering, Data mastering, MDM, Markit EDM, ETL, SQL, Data Modeling, data quality frameworks, exception management workflows, SAL-driven Data operations
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