Data Modeler

{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Data Modeler”, “description”: “

Principal Data Modeller | Credit / Financial Data

Contract

London | Hybrid / flexible working

£600 p/d Outside of IR35 | 6 Months Rolling Contract

This role requires a senior data modeller to take ownership of a complex financial data domain within a global data and analytics environment focused on defining and stabilising a core credit data model used across multiple products and consumers. You’ll be expected to operate independently, make modelling decisions with incomplete information, and leave behind a clear, buildable structure for engineering teams.

This is a hands-on modelling authority position!

THE ROLE

  • Own the conceptual → logical → physical data model for a core credit domain
  • Define and refine key entities such as issuer, instrument, rating, event, and time/history
  • Work across fragmented and under-documented data sources to establish clean, canonical definitions
  • Produce source-to-target mappings, data dictionaries, and lineage artefacts
  • Ensure models are aligned with downstream delivery (data products, feeds, APIs)
  • Partner with product, engineering, and domain stakeholders to drive decisions and resolve ambiguity
  • Set modelling standards that others can follow and build against

THE REQURIMENTS

  • Strong experience owning enterprise data models (conceptual, logical, physical)
  • Proven background in financial services data (credit, risk, markets, or reference data)
  • Ability to work in messy environments and reverse-engineer existing data structures
  • Experience producing canonical models and governance artefacts
  • Comfortable operating independently without heavy oversight
  • Strong stakeholder engagement and ability to challenge where needed
  • Exposure to Snowflake / modern cloud data platforms
  • Experience working with data products, feeds, or APIs
  • Familiarity with Data Vault / dimensional modelling approaches
  • Experience in environments with multiple data consumers and distribution channels

#J-18808-Ljbffr”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Intelix.AI”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__436832456__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=299” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }
Company: Intelix.AI
Apply for the Data Modeler
Location: London
Job Description:

Principal Data Modeller | Credit / Financial Data

Contract

London | Hybrid / flexible working

£600 p/d Outside of IR35 | 6 Months Rolling Contract

This role requires a senior data modeller to take ownership of a complex financial data domain within a global data and analytics environment focused on defining and stabilising a core credit data model used across multiple products and consumers. You’ll be expected to operate independently, make modelling decisions with incomplete information, and leave behind a clear, buildable structure for engineering teams.

This is a hands-on modelling authority position!

THE ROLE

  • Own the conceptual → logical → physical data model for a core credit domain
  • Define and refine key entities such as issuer, instrument, rating, event, and time/history
  • Work across fragmented and under-documented data sources to establish clean, canonical definitions
  • Produce source-to-target mappings, data dictionaries, and lineage artefacts
  • Ensure models are aligned with downstream delivery (data products, feeds, APIs)
  • Partner with product, engineering, and domain stakeholders to drive decisions and resolve ambiguity
  • Set modelling standards that others can follow and build against

THE REQURIMENTS

  • Strong experience owning enterprise data models (conceptual, logical, physical)
  • Proven background in financial services data (credit, risk, markets, or reference data)
  • Ability to work in messy environments and reverse-engineer existing data structures
  • Experience producing canonical models and governance artefacts
  • Comfortable operating independently without heavy oversight
  • Strong stakeholder engagement and ability to challenge where needed
  • Exposure to Snowflake / modern cloud data platforms
  • Experience working with data products, feeds, or APIs
  • Familiarity with Data Vault / dimensional modelling approaches
  • Experience in environments with multiple data consumers and distribution channels

#J-18808-Ljbffr…

Posted: May 20th, 2026