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A major hedge fund is seeking an Investment Data Operations Analyst/Engineer to join their Data Management team. This role involves optimizing data processes, conducting quality checks using SQL and Python, and acting as the liaison between multiple operational teams. Strong technical skills and foundational experience in the financial services sector are essential for this position, which offers competitive compensation and the opportunity for hybrid working after onboarding. Candidates should possess a solid academic background and relevant operational experience in similar roles.
1 week ago Be among the first 25 applicants
A high performing, multi-billion dollar AUM hedge fund are looking to make a newly created Data Analyst hire into their rapidly growing centralised Data Management team.
Reporting into the Global Head of Data and taking on a highly visible role within the team, the hire will be working very closely with Operations, Product Control, Risk, Trading and Research teams to ensure the smooth transmission of data, in a role that has a highly technical / engineer angle. You will optimize the operation and quality management of the internal data pipeline with oversight of raw data initially being onboarded through to the delivery of datapoints to front office/investment teams. You will use your technical knowledge of languages such as SQL/python/VBA/Matlab to conduct quality checks and anomaly identification, by interrogating complex dataset analysis. The hire will act as the main interface between data sourcing and data engineering and be the point of contact for Traders.
The hire will also take on ad hoc projects working with front office and technology teams to assist with testing new dataset onboarding platforms, setting data governance metrics and assisting with developing a centralized data management platform.
Candidates should have 2 – 7 years of experience as a Data Operations Specialist / Data Solutions Analyst / Data governance Analyst at a hedge fund, asset manager or a major data vendor. Candidates must have a strong academic profile with experience using advanced coding/programming languages to analyse large datasets ideally as part of an existing Data team within the financial services sector.
The role is offering a base salary of up to £125K + a bonus that can be a large % of base for a top performer. Whilst the hire should expect to work a 5 day office week initial, it will be possible to WFH 1-2 days per week once established in the role.
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