Business Data Analyst

Banking & Financial Services

London

Hybrid

NOK 1,148,000 - 1,658,000

Full time

2 days ago
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Job summary

Banking & Financial Services in London is seeking a highly experienced technical business analyst to bridge traders and the data engineering team while scaling the firm's data infrastructure.

You will collaborate with front office stakeholders, gather requirements, and translate trading strategies into scalable data engineering tasks in a hybrid London office setting.

Qualifications

  • 10+ years experience in a similar role.
  • Extensive experience with market data/alternative datasets across multiple asset classes (ideally with Bloomberg or Refinitiv/LSEG).
  • 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 – bridging developers/engineers & traders.

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.

Skills

Data modelling
SQL
Python
Stakeholder management
Data governance

Tools

Bloomberg
Refinitiv/LSEG

Job description

  • We have partnered with a highly successful alternative investment manager on a very exciting hybrid position where you will be given the opportunity to capitalise on both your commercial acumen and stakeholder management skills alongside your technical background & expertise.

    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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