Responsible AI Engineer - 6 month FTC

Location: London

About Us

Rothschild & Co is a leading global financial services group with seven generations of family control and a history of over 200 years at the centre of the world's financial markets.

Our expertise, intellectual capital and global network enable us to provide a distinct perspective that makes a meaningful difference to our clients, communities and planet.

We have 4,600 talented specialists on the ground in over 40 countries around the world, enabling us to deliver a unique global perspective across four market-leading business divisions – Global Advisory, Wealth Management, Asset Management and Five Arrows.

As a family-controlled business built on relationships, we place a huge emphasis on our people and finding the right colleagues to take our business forward.

Rothschild & Co is committed to an inclusive and supportive environment where different perspectives are valued. We are focused on the attraction and recruitment, development and retention and progression of high calibre talent to ensure we and our clients benefit from the value of difference.

Overview of Role

The Responsible AI Engineer supports the Head of Responsible AI in the design, implementation and ongoing operation of the Group Responsible AI framework. The role combines AI governance, risk assessment, technical AI knowledge and operational delivery. The successful candidate will help assess AI systems, support governance processes, monitor regulatory developments, coordinate assessments, prepare management reporting and work with business, technology, legal, compliance and information security teams to ensure AI is deployed responsibly and in line with Group policy and standards.

Responsibilities

• Conduct Responsible AI assessments for AI tools, models, vendors and use cases.
• Support AI risk identification, evaluation, documentation and mitigation activities.
• Maintain assessment inventories, decision logs, governance records and evidence repositories.
• Review third-party AI solutions and perform due diligence against Group Responsible AI requirements.
• Analyse model documentation, technical architectures, data usage and control environments.
• Support ongoing monitoring activities and periodic reviews of approved AI solutions.
• Prepare governance materials, committee papers, dashboards and management reports.
• Assist in maintaining and enhancing AI policies, standards, procedures and guidance.
• Monitor AI regulations, standards and industry developments including the EU AI Act and emerging financial services expectations.
• Partner with Legal, Compliance, Information Security, Data, Risk and Technology teams to implement controls and remediation actions.
• Develop practical guidance for business users on acceptable AI use and risk management requirements.
• Support AI incident management, issue tracking and root cause investigations where required.
• Contribute to AI awareness, training and communication programmes across the Group.
• Help define risk-based controls for Generative AI, AI Agents and other emerging AI capabilities.
• Perform AI tool and vendor reviews.
• Evaluate model risks including fairness, transparency, accountability, privacy, security and robustness.
• Review technical documentation and architecture designs.
• Support development of monitoring metrics, KPIs and governance dashboards.
• Assist with audit responses and regulatory information requests.
• Help maintain inventories of AI systems and associated risk classifications.

Experience, Skills and Competencies Required Experience

• 3 to 5 years of experience in AI governance, model risk management, data governance, AI engineering, technology risk or a related discipline.
• Experience working with Generative AI, machine learning or data-driven technologies.
• Good understanding of AI risk management principles and control frameworks.
• Knowledge of AI-related regulations and standards such as the EU AI Act, GDPR, NIST AI RMF or equivalent.
• Experience within financial services or another highly regulated environment preferred.
• Bachelor degree in Computer Science, Data Science, Engineering, Information Systems,
• Risk Management or related field Core Competencies
• Strong analytical and problem-solving skills.
• Ability to translate complex technical concepts into practical business guidance.
• Excellent stakeholder management and communication skills.
• Comfortable working across business, technology and control functions.
• Strong documentation and report-writing capability.
• Curiosity regarding emerging AI technologies and responsible innovation.