Overview
In this role you will bridge traders and the data engineering team to scale the firm’s data infrastructure. You’ll translate business requests into deliverables, ensuring alignment with architectural standards. You work across market data and alternative datasets to translate trading strategies into scalable data requirements, enabling front-office delivery. This high-impact position sits at the intersection of commercial insight and technical delivery within a successful, London-based firm.
Responsibilities
- Translate business requests into actionable data deliverables in collaboration with data engineering
- Oversee full data lifecycle from requirements gathering to delivery
- Ensure data products adhere to architectural standards and principles
- Leverage market data and alternative datasets across asset classes to define scalable data engineering requirements
- Act as a bridge between front office traders and data engineers to prioritise and deliver
Key requirements
- 10+ years in a similar role
- Extensive experience with market data/alternative datasets across multiple asset classes (vendor experience like Bloomberg or Refinitiv/LSEG)
- Experience with structured and unstructured datasets
- Strong understanding of schemas, data modelling, and query optimisation
- Working knowledge of SQL and Python
- Demonstrated stakeholder management with front office
- Understanding data normalization/de-normalization when integrating vendors and internal systems
- Experience with equities and/or fixed-income assets (buy or sell-side)
- stakeholder management
- clear communication
- cross-functional collaboration
- SQL
- Python
- data modelling principles
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