Change & Transformation

Business Data Modeller (Asset Management)

Business Data Modeller (Asset Management)

  • Location


  • Sector:

    Change & Transformation

  • Job type:


  • Salary:

    Up to £800 per day

  • Contact:

    Anna Symons

  • Contact email:

  • Job ref:


  • Published:

    over 4 years ago

  • Duration:

    6 months

  • Expiry date:


  • Startdate:


Business Data Modellers (Asset Management)

Business data modeller required to work within the Asset Management division of an investment bank.

Candidates must have experience of Business information Modelling - conceptual, logical and semantic data models (NOT physical data modelling) and experience of Asset Management.

You will be promoting and developing conceptual, logical and semantic models to promote data governance best practice and increase the understanding of the data within Asset Management.

Day to day you will be working with stakeholders globally to design data models for each domain and help promote understanding across Asset Management.

You will also work with the data architecture function to provide accurate models to deliver business insights in analytics platforms.

You will create business conceptual and entity data models to improve the understanding of data and prepare IT teams and data analytics team for development.

The work will be a mix of implementation work as well as theoretical, governing what is built and ensuring information comes from the right place and supporting both the AM data models and group models (meeting group policy).

There will be a lot of group engagement within the role and with their wider peer group, working with AM area SME's, modelling the results for calculations and working with Performance leads.

  • It is essential to have experience of Asset Management in order to understand the business context of the Data.
  • You will have a proven track record of creating and maintaining business information models and or data models.
  • Candidates must have strong data querying experience in SQL or Oracle databases
  • Suitable candidates will have gravitas, be able to face off to senior stakeholders and can take ownership, be persistent and patient.