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Data Management Security Master

Job in New York, New York County, New York, 10261, USA
Listing for: Tradeweb
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Security, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

Company Description

Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world’s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers.

Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily trading volume (ADV) of more than $2.8 trillion over the past four fiscal quarters, topping $3.3 trillion in ADV for the first quarter of 2026.

Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues – and 2025 was our 26th consecutive year of record revenues.

Tradeweb plays a central role in modernizing market structure by developing innovative trading protocols, embedding analytics into execution, and building technology infrastructure that supports the convergence of traditional and digitally native financial markets. Tradeweb is a great place to work, recognized in 2025 by Forbes as one of America’s Best Companies and by U.S. News & World Report as one of the Best Financial Services Companies to Work For.

Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.

Group Details

The Data Management team is responsible for maintaining the accuracy, integrity, and lifecycle management of securities reference data across global markets. The team supports security onboarding, data validation, and ongoing maintenance of the firm’s security master and related data platforms to ensure high-quality data delivery to downstream systems and business stakeholders. Working closely with Technology, Product, Operations, and external data vendors, the group plays a key role in supporting daily data operations and continuous process improvements.

Team members gain exposure to financial instruments, data platforms, and automation initiatives within a collaborative and fast‑paced environment.

Job Responsibilities

The Vice President, Data Management is a senior individual contributor responsible for providing deep expertise in reference data and strong technical capability to support enterprise data quality, consistency, and scalability. This role serves as a key regional subject matter expert and escalation point for complex data questions, investigations, and solution design.

The role combines hands‑on data analysis and technical execution with ownership of complex problem‑solving, governance adherence, and continuous improvement initiatives. The individual works closely with global stakeholders, technology teams, and data providers to ensure reliable data delivery and effective use of reference data across the firm, without direct people management responsibility.

  • Serve as a senior subject matter expert for reference data and security master domains, acting as the primary regional escalation point for complex data issues, investigations, and stakeholder inquiries.
  • Lead complex data analysis, investigations, and root‑cause reviews across multiple systems and data sources, driving scalable solutions and continuous improvement.
  • Partner with business, technology, operations, and external data providers to define data requirements, resolve data quality challenges, and support the effective use of enterprise reference data.
  • Apply strong securities and primary market expertise to support the onboarding, maintenance, and lifecycle management of financial instruments.
  • Support strategic data integration, migration, and transformation initiatives, ensuring data integrity, consistency, and alignment across platforms and workflows.
  • Lead automation, analytics, and process improvement initiatives to enhance operational efficiency, scalability, and data quality through the use of technology and data‑driven solutions.
  • Drive adherence to data governance standards, controls, and policies while partnering with Data Governance stakeholders on data quality monitoring, issue management, control execution, and regulatory or…
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