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Metro locations and general Data Analyst title raise competition, but seniority and niche securitisation expertise reduce it.
Requires deep securitisation and banking experience, limiting cross-industry transferability.
Explicit 12+ years, mandatory securitisation experience and technical SQL requirements make shortlisting highly strict.
Manage analysis of complex banking and securitisation data to identify business issues and opportunities.
Perform data extraction, manipulation, quality checks, and develop standard queries to ensure data consistency.
Translate customer needs into data requirements and collaborate with stakeholders to deliver business solutions.
12+ years experience as Data Analyst or Data & Business Analyst in financial services with hands-on exposure to RMBS, Synthetic Risk Transfer, securitisation, and structured finance.
Strong knowledge of securitisation, structured finance products, transaction lifecycles, asset classes, and data flows.
Advanced proficiency in SQL and Excel for analyzing large complex datasets.
Work Experience Required: 12+ years in relevant domain. Notice period: Not explicitly mentioned in the JD.
Experienced in translating complex business requirements into data specifications and technology solutions within financial services.
Skilled at data quality management, root cause analysis, and process improvement with strong analytical abilities.
Capable stakeholder manager and communicator with experience engaging business and technology teams in a complex data environment.