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Data Architect​/Data Analyst in Financial Crime

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: Capgemini
Remote/Work from Home position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Security, Data Warehousing
Job Description & How to Apply Below
Position: Data Architect / Data Analyst in Financial Crime
Location: Greater London

Job Title:
Data Architect / Data Analyst in Financial Crime

Location:
London

About the Job you are considering:

We are seeking an experienced "Financial Crime Data Specialist" with strong expertise in data mapping, data architecture, data lineage and data visioning within the Financial Crime. FCC domain. This role requires a professional with a proven track record of designing end-to-end data solutions that support FCC customer journeys such as KYC, CDD, TM screening and investigations.
The ideal candidate will combine deep financial crime domain knowledge with strong data architecture capabilities to shape future state data models, enhance data quality, and support transformation initiatives across the FCC lifecycle.

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Key Responsibilities
  • Lead data mapping and data lineage efforts across FCC processes including KYC, CDD, customer screening, transaction monitoring, case management, and SAR reporting
  • Design and implement enterprise level data architecture, data models and data flows that support the end-to-end financial crime customer journey
  • Define the data strategy and vision to improve accessibility, quality, timeliness and consistency of FCC related data
  • Partner with cross‑functional teams (Risk, Compliance, Technology, Operations, Data Governance) to translate FCC regulatory requirements into data requirements and technical specifications
  • Conduct gap analysis on current state vs target state data models identifying issues related to data availability, quality, duplication or fragmentation
  • Support development of golden source definitions, canonical data models and standardized data taxonomies across financial crime systems
  • Work with data engineering teams to ensure accurate ETL data ingestion pipeline design and integration patterns for FCC use cases
  • Enable data visioning and conceptual data architecture for future transformation programs related to customer journey improvements (eg onboarding journeys, remediation, high‑risk customer management)
  • Provide subject‑matter expertise for model validation, analytics enrichment, data quality rules and financial crime scenario enhancement
  • Oversee documentation of metadata, business glossaries and lineage diagrams to enhance transparency and audit readiness
  • Partner with program leads to drive FCC data transformation ensuring compliance with internal controls, regulatory expectations and industry standards
Job Requirements:

7-12 years of experience as a Data Specialist, Data Architect or Data Analyst in Financial Crime (AML, KYC) functions within large financial institutions.

  • Proven hands‑on experience in data mapping, data modelling, lineage tracing and architectural design within FCC environments
  • Strong domain knowledge across financial crime customer journeys
  • Deep understanding of FCC regulatory standards, data requirements and operational impacts
  • Experience working with data tools (eg SQL, ETL tools, ER modelling tools, Collibra, Alteryx, lineage tools, metadata catalogues)
  • Knowledge of modern data architecture concepts such as data mesh, data lake house and distributed data models preferred but not mandatory
  • Strong analytical and problem‑solving skills with a structured approach to data‑driven design
  • Excellent communication and stakeholder‑management skills across technology, compliance, product and operations teams
Preferred Qualifications
  • Prior experience with global banks
  • Certifications in Data Management, Data Architecture or Financial Crime Compliance (eg CDMP, CAMS)
  • Experience designing data capabilities for customer onboarding, KYC refresh or AML transformation programs
  • Familiarity with cloud data platforms (Azure preferred)
We are a Disability Confident

Employer:

Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

• Declare they have a…

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