My client is looking for an experienced Project Manager to lead the end-to-end delivery of Non-Financial Risk initiatives within a dynamic, Agile environment. This role will partner closely with Risk, Technology, Data & Analytics, and Business teams to deliver critical enhancements to risk controls, data capabilities, and operational processes.
Responsibilities
- Establish and maintain delivery approaches aligned with governance standards
- Coordinate cross-functional teams, ensuring clear ownership, sequencing, and dependency management
- Drive delivery momentum by removing blockers, resolving conflicts, and enabling team success
- Coordinate delivery of data ingestion from multiple sources into consolidated repositories, ensuring quality and ownership
- Ensure data quality, integrity, lineage, and security requirements are met in collaboration with Technology and Data teams
- Oversee implementation of NFR control enhancements, ensuring proper assessment, approval, and monitoring
- Support delivery of analytics and machine learning initiatives, aligning with Data Science and Model Risk governance
- Own RAID, proactively escalating with clear recommendations and provide transparent reporting on progress, delivery confidence, key decisions, and risks/issues
- Maintain audit-ready project artefacts, including plans, approvals, and delivery evidence
- Partner with Product Owners, Risk SMEs, Technology leads, Data & Analytics teams, and business stakeholders
Requirements
- Bachelor’s degree in Business, Finance, Economics, Computer Science, or a related field (advanced degree preferred)
- Proven project management experience in financial services, ideally within risk, data, or technology transformation
- Strong understanding of Non-Financial Risk management, particularly within wholesale banking or similar environments
- Strong governance, RAID management, and delivery discipline in regulated environments
- Excellent communication and stakeholder management skills, including senior-level reporting
- Familiarity with data and analytics tools (e.g., SQL, Python, Tableau) is an advantage
- Knowledge of regulatory expectations and industry best practices in NFR is highly desirable