At a Glance
- Tasks: Lead the development of cutting-edge data platforms and manage vendor relationships.
- Company: Elite global hedge fund with a focus on innovation and technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for team building.
- Other info: Join a growing team with excellent career advancement potential.
- Why this job: Shape the future of data systems in finance and make a significant impact.
- Qualifications: Strong Python skills and experience in building Security Master systems.
The predicted salary is between 63000 - 77000 £ per year.
Attribution Search is partnered with an elite global hedge fund looking to hire a Head of Data Platform into its growing Technology Function The successful candidate will build the Security Master systems from the ground up, so they seamlessly integrate into their Python based systems.
They will also own the vendor relationships with Data providers.
This hire will build out a team over time.
Candidates with experience building or overhauling a Security Master in a buy-side firm, with strong Python, is highly desirable.
Responsibilities Designing and building the firm's Security Master, IBOR, and Reference Data systems.
Establishing data models, governance standards, quality controls, and operational processes Owning the consistency and integrity of investment records across multiple systems and data sources Integrating and normalising data from vendors including Bloomberg, S
Head of Data Platform - Global Hedge Fund - London employer: Attribution Search
Join a leading global multi-strategy hedge fund that values innovation and excellence in the fast-paced world of finance. Our collaborative work culture fosters professional growth, offering you the chance to partner with top-tier Portfolio Managers and enhance your skills in P&L production and valuations. With a focus on automation and process improvement, you'll be part of a dynamic team that not only supports your career development but also encourages you to make a meaningful impact in the financial markets.
