About Capgemini Invent
Capgemini Invent is a global business and technology transformation partner, delivering innovative solutions that blend strategic, creative and scientific capabilities. We collaborate closely with clients to deliver cutting‑edge solutions in areas such as data & AI, client transformation, and sustainability.
Your Role
Join our fast‑growing & collaborative Data‑Driven Financial Risk & Compliance (DFRC) team and shape the future of risk and finance. We harness cutting‑edge technology, AI‑powered models, and cloud‑first data platforms to transform risk management from a reactive function into a strategic powerhouse, driving growth, resilience and competitive edge.
Responsibilities
- Partner with business and data teams to understand data requirements, define data ownership, and ensure governance policies are effectively applied.
- Implement and support data governance and data quality initiatives, ensuring compliance with organisational policies and regulatory standards.
- Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards.
- Manage and maintain metadata to enhance data discoverability, consistency and accuracy.
- Conduct data validation and quality checks to ensure accuracy, completeness, and adherence to governance standards.
Qualifications
- Minimum 2 years of consulting experience or a financial services background, with demonstrable stakeholder management skills.
- Experience across end‑to‑end analytics/AI transformation or large‑scale deployment programmes.
- A passion for data and the ability to solve complex problems using the latest tools and technologies.
- Strong storytelling skills; the ability to translate technical outcomes into clear, impactful business narratives.
Technical and Analytical Skills
- Knowledge of data governance frameworks, stewardship, lineage, metadata management and regulatory compliance.
- Proficiency with data governance tools such as Informatica, Collibra or Talend, and SQL for analysing data structures.
- Experience with project governance tools (e.g., JIRA, EPIC, User Stories, Backlog) and agile methodologies like Scrum, Kanban or SAFe.
- Excellent presentation skills to communicate both technical and non‑technical concepts.
Senior Consultant Specific Requirements
- Exposure to regulatory requirements such as GDPR, CCPA, BCBS 239 or Solvency II and their impact on data governance strategies.
- Experience in records management and data privacy frameworks.
- Demonstrated people management or product‑owner experience.
- Commercial cycle experience, including defining project scope, budgets and agreements.
What You’ll Love About Working Here
Our DFRC team is part of the wider Data & AI Factory within the Enterprise Data Analytics (EDA) practice, tackling projects that transform financial operations. The team focuses on risk‑based analytics, credit risk, financial crime, KYC/AML, data privacy, governance and GenAI applications in financial services.
Capgemini Invent’s culture values diversity, client focus, continuous learning, collaboration, community building, and a commitment to sustainability and inclusion.
As a Team
- We value diversity and actively foster inclusive teams.
- Our work impacts client data culture and operations.
- We support learning and development across analytics, data and AI.
- Collaboration with Capgemini, Cambridge Consultants and other partners amplifies our impact.
- We build analytics and AI products through functional and industry communities.
- We use AI & analytics to improve sustainability, address climate change and champion inclusion.
Need to Know
Capgemini provides flexible working arrangements with a focus on hybrid models and wellbeing initiatives such as Mental Health Champions and wellbeing apps. Locations include London, Manchester and Glasgow, with flexibility for short‑notice relocations.
We offer a competitive remuneration package with variable elements, flexible benefits, and opportunities for career advancement within the EDA practice.
Seniority Level & Employment Type
Mid‑Senior level | Full‑time
