Role Overview:
A leading global financial institution is seeking a forward-thinking and detail-oriented AI Change Model Risk Manager to oversee the governance and risk management of AI and machine learning models within its Markets and Securities Services (MSS) division.
In this role, you will be responsible for managing risks related to AI/ML model changes, ensuring compliance with regulatory expectations such as PRA SS1/23, SR11-7, and CRD IV, while supporting end-to-end delivery from proof of concept to production.
You will also collaborate with data scientists, quants, model risk teams, and senior stakeholders to drive robust AI governance frameworks.
Key Responsibilities:
- Design and implement governance frameworks for managing AI/ML model changes, including documentation, impact assessment, version control, and triggers.
- Conduct model risk assessments covering areas like data drift, performance shifts, algorithm changes, and infrastructure updates.
- Participate in AI change advisory boards and model risk governance forums.
- Support ongoing regulatory remediation initiatives and ensure alignment with industry standards.
- Create performance dashboards, KPIs, and Management Information (MI) for senior leadership and risk committees.
- Guide cross-functional teams through the model deployment lifecycle, ensuring compliance and documentation readiness.
- Assist in model documentation, change management processes, and completion of governance requirements across AI initiatives.
- Stay current with regulatory developments, best practices, and emerging risks in AI and ML.
Qualifications & Skills:
- 5-9 years of relevant experience in AI model governance, credit risk, model risk management, or change/project management.
- Strong knowledge of regulatory frameworks like SR11-7, SS1/23, or CRD IV.
- Experience with IFRS 9, PIT PD, LGD model enhancement, or credit risk modelling is highly desirable.
- Familiarity with AI/ML model development and performance monitoring.
- Strong analytical skills, attention to detail, and the ability to manage multiple deliverables.
- Excellent communication and stakeholder engagement abilities.
- Prior experience with Python is desirable.
- Academic background in Data Science, AI, Risk Management, Finance, or related field; certifications or online courses are a plus.
"With global regulators sharpening their focus on AI model risk, this is your chance to lead change-not just manage it.
Are you ready to embed compliance into innovation?".
Didn’t find the job appropriate? Report this Job
