Senior Analyst - Model, Data and AI Risk Internal Audit

Additional office locations

London

Job ID

23719

Date

19-Aug-2026

Permanent - Full time, Mid-level

Job category

Risk Management

• Experience assessing or developing traditional quantitative models, machine learning models and AI solutions, with a strong understanding of model performance testing, monitoring and governance.

• Knowledge of modern AI platforms, architectures and controls, including associated technology, operational and risk considerations across the AI lifecycle.

• Ability to review and evaluate data quality, lineage and privacy controls, alongside an understanding of relevant regulatory frameworks such as GDPR, the EU AI Act and wider model and AI risk guidance.

• Strong communication and stakeholder management skills, with experience translating complex technical concepts into clear insights and building trusted relationships with senior stakeholders.

• A proactive and collaborative approach, with a passion for innovation, continuous improvement and creating positive outcomes through the responsible use of technology and data.

• Experience assessing or developing traditional quantitative models, machine learning models and AI solutions, with a strong understanding of model performance testing, monitoring and governance.

• Knowledge of modern AI platforms, architectures and controls, including associated technology, operational and risk considerations across the AI lifecycle.

• Ability to review and evaluate data quality, lineage and privacy controls, alongside an understanding of relevant regulatory frameworks such as GDPR, the EU AI Act and wider model and AI risk guidance.

• Strong communication and stakeholder management skills, with experience translating complex technical concepts into clear insights and building trusted relationships with senior stakeholders.

• A proactive and collaborative approach, with a passion for innovation, continuous improvement and creating positive outcomes through the responsible use of technology and data.