Why This Role Stands Out
This exciting opportunity with a leading Big 4 firm offers unparalleled growth in the rapidly evolving fields of Data, AI, and Analytics, allowing you to shape innovative solutions for major financial services clients. You'll thrive here if you're a versatile, entrepreneurial professional with a passion for data governance and AI, eager to leverage your skills in a dynamic, client-facing hybrid environment. Apply now to join a reputable consultancy and make a significant impact.
Quick Overview
Job Description
Data, AI & Analytics Consultant, Big 4, GenAI, Regulatory, Governance, Central London
Data & AI Consultant required to work for a fast growing Professional Services business based in Central London. As this is an external client facing consulting role, you will be expected to be in the office circa 4 days a week and then be prepared to travel to various client sites as the role develops.
We need a decathlete or 'Swiss Army Knife' of the consulting world. As Data, AI and Analytics is moving so fast, we need you to be entrepreneurial but also have the ability to improvise around client needs.
Here is the ideal background:
- Experience working within or advising Financial Services organisations (banking, insurance, asset management, or capital markets), with an understanding of relevant regulatory requirements including FCA/PRA expectations on data and AI.
- Exposure to data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Chat GPT, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions.
- Experience of implementing and refining data and AI analytics tools to automate internal audit processes, enhancing efficiency and accuracy.
- Experience of scoping, delivering, and reporting on internal audits, and in presenting conclusions to relevant stakeholders.
- Deep expertise in data governance frameworks (e.g. DAMA DMBOK, DCAM) and AI governance, model risk management, and AI model testing and validation methodologies, including familiarity with emerging regulatory and industry standards (e.g. EU AI Act, NIST AI RMF, PRA SS1/23, SR 11-7).
- Experience of building extensive and active networks across geographical regions and client organisations.
This is a great opportunity and salary is dependent upon experience. Apply now for more details
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