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Data Operations & Governance Analyst/Engineer - Major Hedge Fund – Lucrative Total Comp Package, kingston upon hull, east yorkshire
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Client:
Location:
kingston upon hull, east yorkshire, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Views:
1
Posted:
04.06.2025
Expiry Date:
19.07.2025
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Job Description:
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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