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Une société de hedge fund multinationale recherche un analyste/ingénieur en opérations de données et qualité pour rejoindre une équipe de gestion de données en pleine croissance. Le rôle implique la collaboration avec de multiples départements pour optimiser les opérations de données et gérer la qualité des données, utilisant des compétences avancées en SQL, Python, VBA, ou Matlab. L'offre comprend un salaire de base compétitif allant jusqu'à £125K, avec la possibilité de travailler à distance une fois la période d'établissement terminée.
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Client:
London (City of London), United Kingdom
Other
Yes
2
28.06.2025
12.08.2025
A high performing, multi-billion dollar AUM hedge fund is looking to hire a Data Analyst into their rapidly growing centralised Data Management team.
Reporting to the Global Head of Data and taking on a highly visible role, the hire 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 optimization of data operations and quality management from raw data onboarding to delivery to front office/investment teams.
You will utilize your technical skills in SQL, Python, VBA, or Matlab to perform quality checks and identify anomalies through complex dataset analysis. The candidate will serve as the main interface between data sourcing and data engineering and act 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 at a hedge fund, asset manager, or major data vendor. A strong academic background and experience with advanced programming languages for analyzing large datasets are required.
The position offers a base salary of up to £125K plus performance-based bonuses. Initially, the role requires a 5-day office week, with potential for 1-2 days of WFH once established.