Securitisation Data Analyst
Summary
Analyze securitisation and structured finance datasets to translate business needs into data solutions, using SQL and Excel to ensure quality and deliver management reporting.
Drive high-quality business solutions across securitisation and structured finance by analyzing complex datasets, enforcing data governance, and bridging the gap between business needs and technology execution.
Responsibilities
- Requirements & Partnership: Collaborate with Securitisation, Risk, Finance, and Technology teams to gather, document, and translate business challenges and regulatory initiatives into clear data requirements.
- Data Analysis & Governance: Query, profile, map, and reconcile complex datasets using SQL and Excel to identify trends, resolve data quality issues, and deliver actionable management reporting.
- Solution Delivery & Mentorship: Work alongside Product Owners and Engineering teams throughout design and testing phases while mentoring junior analysts on best practices.
Requirements
- Proven experience as a Data Analyst (or hybrid Data/BA) in financial services, with deep securitisation or structured finance knowledge.
- Advanced proficiency in SQL and Excel for analysing, reconciling, and profiling large, complex datasets.
- Demonstrated ability in gathering business requirements, stakeholder management, and mentoring junior team members.