Data Architect / Data Analyst in Financial Crime

Data Architect / Data Analyst in Financial Crime

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 Compliance (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.

Location & Work Arrangement

This role is based in London, offering a hybrid working model. Your day-to-day work location 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 (e.g., 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

We are looking for candidates with 7-12 years of experience as a Data Specialist, Data Architect, or Data Analyst in Financial Crime (AML, KYC) functions within large financial institutions. You should have proven hands-on experience in data mapping, data modeling, lineage tracing, and architectural design within FCC environments.

• Strong domain knowledge across financial crime customer journeys: KYC, CDD, Sanctions Screening, Transaction Monitoring, Customer Onboarding, Investigations, Case Management.
• Deep understanding of FCC regulatory standards, data requirements, and operational impacts.
• Experience working with data tools (e.g., SQL, ETL tools, ER modeling tools, Collibra, Alteryx, lineage tools, metadata catalogues).
• Knowledge of modern data architecture concepts such as data mesh, data lakehouse, 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 (e.g., CDMP, CAMS).
• Experience designing data capabilities for customer onboarding, KYC refresh, or AML transformation programs.
• Familiarity with cloud data platforms (Azure preferred).

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make It Real (What does it mean for you)

You’d be joining an accredited Great Place to Work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress, benefiting from Capgemini’s ‘learning for life’ mindset, with countless training opportunities and external certifications. You will be joining one of the World’s Most Ethical Companies®, helping to create a future we can all be proud of.

Why you should consider Capgemini

When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want.

Key skills/competency

• Data Architecture
• Financial Crime Compliance
• Data Mapping
• Data Lineage
• KYC/CDD
• Transaction Monitoring
• AML
• Regulatory Compliance
• SQL
• ETL