Sitting in their London office, you will be bridging the gap between the traders and the data engineering team to support the scaling data infrastructure of the firm.
Key responsibilities:
• Operate across the full data life cycle - from requirement gathering through delivery
• Gather and clarify business requests into actionable deliverables, partnering closely with the data engineering team to support implementation and delivery
• Ensure data products are implemented in line with architectural standards and principles
• Utilise market data and alternative datasets across multiple asset classes to translate complex trading strategies into scalable data engineering requirements, ensuring seamless delivery to the front office
Your background:
• 10+ years experience in a similar role
• Extensive experience working with market data/alternative datasets across multiple asset classes (ideally with vendors like Bloomberg or Refinitiv/LSEG), experience working across structured & unstructured datasets
• Deep understanding of schemas, data modelling principles, query optimisation - working understanding of SQL & Python will be important
• Demonstrated experience in stakeholder management with front office - comfortable acting as the bridge between developers/engineers & traders
• Understanding data normalization and de-normalization challenges when integrating multiple vendors and internal systems
• Experience with equities & fixed-income asset classes (buy or sell-side)
This is suitable for a technical business analyst who is comfortable dealing with different stakeholders - you will need to utilise your technical background in order to sit with traders, understand their priorities, and feed this back to our data engineers.
This is a very unique opportunity to sit in a high-impact role in a hugely successful business.
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