Capital Markets - Data Governance Lead

Farringdon, Greater London

3 months ago

Applications closed

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Senior Data Governance Analyst

Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle). Expertise in data governance, metadata management, data quality, and data access management.

Job Title: Market Data Lead - Data Governance & Transformation

Location: London, Cheapside

Remuneration: £100,000 - £120,000 base plus benefits, perks, healthcare options and bonus!

Note: Capital Markets experience is a must!

We are looking for a skilled Market Data Lead to join our Data Governance & Transformation team. In this role, you will be responsible for managing and leading data governance initiatives for Market Data, ensuring robust data management processes across the organization. You will work closely with business, technology, and data stakeholders to drive excellence in metadata management, data quality, and data access governance.

Key Responsibilities:

Lead the Market Data governance stream, bringing priority datasets under governance and implementing data management activities such as Metadata Management, Data Quality, and Data Access & Sharing.
Collaborate with business SMEs, BAs, and Technology Leads to define and manage critical data assets, establish DQ rules, and ensure effective data access controls.
Facilitate regular meetings with stakeholders to ensure timely delivery of the data governance program, manage dependencies, and resolve issues.
Provide expert guidance on data management challenges and best practices across the organization.
Drive data management strategy and thought leadership in areas like Data Quality Automation and CDE Identification.Qualifications:

Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle).
Expertise in data governance, metadata management, data quality, and data access management.
Familiarity with regulatory frameworks such as BCBS239, Dodd Frank, MiFID, and EMIR.
Strong proficiency in SQL, Python, and familiarity with AI and data management tools (e.g., Databricks, MS Power Automate).
Excellent communication, problem-solving, and analytical skills.What We Offer:

Hybrid working model (3 days in-office).
Fast-paced, dynamic work environment with growth opportunities.
A collaborative team culture and an inclusive work environment.If you are passionate about data management and want to make a significant impact in a global organization, apply now to join our team

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