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A leading hedge fund in London seeks a Data Quality Analyst/Engineer to enhance their Data Management team. This role focuses on optimizing data operations, ensuring quality management, and requires strong programming skills in SQL, Python, and VBA. The successful candidate will collaborate with various teams and manage complex datasets, contributing to a centralized data management platform. The position offers a competitive compensation package and the potential for flexible working arrangements after initial establishment.
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London, United Kingdom
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12.05.2025
26.06.2025
A high performing, multi-billion dollar AUM hedge fund is looking to hire a Data Analyst into their rapidly growing Data Management team.
Reporting to the Global Head of Data and taking on a highly visible role, the successful candidate will work closely with Operations, Product Control, Risk, Trading, and Research teams to ensure smooth data transmission. The role has a technical/engineering focus, involving optimizing data pipeline operations and quality management, from raw data onboarding to delivery to front office/investment teams. You will utilize languages such as SQL, Python, VBA, and MATLAB to perform quality checks and identify anomalies in complex datasets. You will act as the main interface between data sourcing and engineering and serve as the point of contact for Traders.
The role also involves working on ad hoc projects with front office and technology teams, testing new data onboarding platforms, setting data governance metrics, and developing a centralized data management platform.
Candidates should have 2–7 years of experience as a Data Operations Specialist, Data Solutions Analyst, or Data Governance Analyst within a hedge fund, asset manager, or major data vendor. A strong academic background and experience with advanced programming languages for analyzing large datasets are essential, preferably within a financial services data team.
The compensation package includes a base salary of up to £125K plus a performance bonus. Initially, the role requires a 5-day office week, with the possibility of working from home 1-2 days per week once established.