Market Data Management

Position: Market Data Management

Location: Bangalore, Hybrid

Company Description

Tradeweb is a global leader in electronic trading for rates, credit, equities, and money markets. 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 $2.2 trillion over the past four fiscal quarters, topping $2.5 trillion in ADV for the first quarter of 2025.

Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues - and 2024 was our 25th consecutive year of record revenues.

Tradeweb is a great place to work, recognized in 2024 by Forbes as one of America's Best Companies (2024) 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.

Mission: Move first and never stop. Collaborate with clients to create and build solutions that drive efficiency, connectivity, and transparency in electronic trading.

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."

• Execute daily data management processes, validations, and controls to support accurate and timely data delivery.
• Support security onboarding, reference data maintenance, and lifecycle updates using established procedures and guidelines.
• Monitor and investigate data quality issues across multiple data sources, escalating issues and risks to senior team members as appropriate.
• Perform data analysis, reconciliations, and basic root-cause investigations with guidance and oversight.
• Assist with data integration activities, system changes, and process transitions by supporting testing, validation, and documentation updates.
• Partner with internal and cross-functional teams to support data requirements and issue resolution.
• Follow data governance standards, documentation, and operating procedures to reduce operational risk.
• Support analytics, automation, and process improvement initiatives, including developing or maintaining basic scripts, queries, or tools where applicable.
• Maintain accurate documentation and logs related to data updates, investigations, and process execution.
• Participate in knowledge sharing, training, and cross-learning activities to build domain and technical expertise.

• Bachelor's degree or equivalent relevant work experience.
• 5+ years of experience in data management, reference data, financial operations, or related fields.
• Strong knowledge of fixed income securities; broader exposure to equity securities is a plus.
• Strong attention to detail and ability to manage time-sensitive and repetitive workflows.
• Willingness to learn financial instruments, data platforms, and technical tools.
• Strong working knowledge of SQL.
• Hands-on experience with Python for data analysis, automation, or tooling.
• Advanced Excel skills, including pivot tables, macros, VBA, and data connectivity.
• Familiarity with data mapping, data modeling, and relational database concepts is a plus.
• Experience with data validation, reconciliation, or comparison of vendor data.
• Exposure to data integration, migration, or automation initiatives through coursework, internships, or prior roles.
• Experience driving automation or analytical initiatives within a data or reference data function.
• Experience acting as a senior SME or regional point of contact

• Strong working knowledge of SQL.
• Hands-on experience with Python for data analysis, automation, or tooling.
• Advanced Excel skills, including pivot tables, macros, VBA, and data connectivity.
• Familiarity with data mapping, data modeling, and relational database concepts is a plus.
• Experience with data validation, reconciliation, or comparison of vendor data.
• Exposure to data integration, migration, or automation initiatives through coursework, internships, or prior roles.
• Experience driving automation or analytical initiatives within a data or reference data function.

• Experience with data validation, reconciliation, or comparison of vendor data.
• Exposure to data integration, migration, or automation initiatives through coursework, internships, or prior roles.
• Experience driving automation or analytical initiatives within a data or reference data function.
• Experience acting as a senior SME or regional point of contact