Enterprise Data Management (EDM Developer)

FDM Group

$90K — $120K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in data engineering or mastering roles within financial services
  • Hands-on experience with MarkitEDM or similar platforms
  • Strong understanding of security reference and pricing data
  • Bachelor's degree in Computer Science or related field
  • Proficient in SQL, data modeling, and ETL processes
  • Familiar with data quality frameworks and SLA-driven data operations
  • Ability to collaborate in a team-oriented environment

Responsibilities

  • Design, develop, and maintain data mastering workflows
  • Support end-to-end mastering logic for security reference data
  • Build and optimize data quality rules and golden record frameworks
  • Integrate with industry data vendors and map vendor schemas
  • Troubleshoot production data issues and implement sustainable fixes
  • Perform ad-hoc data analysis and communicate findings clearly
  • Collaborate with teams to define mastering rules and onboard new data domains

Benefits

  • Hybrid work model with 3 days in office
  • 12-month initial project duration with potential for extension
  • Opportunity to impact data strategy and governance frameworks
  • Collaborative and outcomes-driven team environment
Full Job Description
Über die Rolle

This position requires the successful candidate to work on a W2 directly with FDM. We cannot accept C2C, 1099 or employment sponsorship (e.g. H1-B) for this position.

FDM is seeking a EDM Developer located in New Yorkto support a project in the Finacial Service sector. Involvement in this project is anticipated to last initially 12 month but may be extended.

This role will be hybrid with requirements to be in office 3 days per week.

Das bringst du mit

Enterprise Data Management - Data Governance and Market Data Mastering

We are seeking a skilled developer to join the clients Data Governance Technology & Master Data Management team. In this role, you will design, develop, and optimize components of our enterprise mastering platform - driving data quality, consistency, and operational efficiency across the firm, with a primary focus on security reference data spanning multiple asset classes.

This is an opportunity for a technically proficient and self-motivated professional to make a meaningful impact on Clients data strategy - deepening expertise across governance frameworks, matching and survivorship logic, workflow automation, and vendor integration while working at the intersection of technology and investment operations.

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


Das erwartet dich

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