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Tier-1 brand, metro location, and mid-level generalist data role increases candidate competition.
Strong financial content and regulatory focus reduces cross-industry transferability.
Requires specific data governance and regulatory expertise, but no explicit years requirement.
Support adoption and implementation of data governance and data quality practices specifically for Financial Content Operations.
Analyze regulatory and policy impacts, and assist teams in embedding governance standards to ensure data accuracy, completeness, reliability, and fitness for purpose.
Collaborate with internal partners to maintain comprehensive process maps, define data quality rules, and improve governance maturity and compliance.
Experience working with Financial Content Operations data or similar regulated financial data context is implied but not explicitly quantified.
Proficiency or familiarity with SQL, Python, or PowerBI is desirable but not mandatory.
Knowledge of governance frameworks, process mapping, and data quality principles is required.
Location or onsite requirements: Hybrid model with flexibility to work from home up to two days per week in London (Senior Associate level).
Demonstrated ability to translate regulatory/policy requirements into operational governance activities within financial content or data operations.
Experience influencing and collaborating across teams to improve data governance, quality, and compliance in a financial market infrastructure environment.
Strong analytical and structured thinking skills with practical experience in data quality measurement and controls, preferably with some knowledge of process mapping tools and quality management systems.