Job Title: AI Governance Specialist – Capital Markets - Leadership
Client: Elite Investment Firm
Salary: Up to £100k Base + Bonus
Location: London (Hybrid)
Sells: Cutting-edge AI initiatives, ownership of greenfield governance frameworks, direct exposure to Front Office stakeholders, collaborative and high-performing teams, modern tech stack, excellent work-life balance and a genuinely strong culture.
An Elite Investment Firm is looking for a highly talented AI Governance Specialist to join a cutting-edge Capital Markets technology function focused on Responsible AI, data governance, and AI readiness.
This team has significant investment and backing from senior leadership, operates in a fast-paced front-office environment, and is made up of exceptional technologists and business stakeholders driving AI adoption across the firm.
Role:
- Working closely with Front Office, Technology, and Data teams to implement AI Governance frameworks across Capital Markets
- Supporting the governance of AI/ML solutions across the full lifecycle including development, validation, deployment, and monitoring
- Driving Responsible AI initiatives focused on explainability, fairness, transparency, and regulatory compliance
- Leading AI readiness initiatives across key Capital Markets datasets including data quality, lineage, and accessibility
- Maintaining AI solution inventories, governance controls, and operational processes aligned with evolving regulations
- Partnering with stakeholders across business and technology to shape AI strategy and governance best practices
- Working with modern data and AI tooling including Databricks, Python, and enterprise data platforms
Skills:
- Strong experience within Capital Markets environments (Desirable)
- Good understanding of AI/ML lifecycle governance and Responsible AI principles
- Experience working with data governance, metadata, lineage, or data quality initiatives
- Exposure to AI/ML tooling and platforms such as Databricks and Python
- Knowledge of model governance, validation, monitoring, or regulatory frameworks
- Strong stakeholder management and communication skills
- Experience working with large datasets and analytical tooling
- Passion for AI, data, and emerging technologies
- Ability to operate in fast-paced, front-office-facing environments