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Tier-1 bank and Bangalore location increase applicant density, but seniority and niche securitisation skills reduce competition.
Requires deep securitisation and RMBS banking experience, making skills non-transferable across industries.
Explicit 12+ years, mandatory securitisation experience and SQL skills make filters highly stringent.
Manage analysis of complex bank or franchise data to identify business issues and opportunities within securitisation technology.
Perform data extraction, manipulation, processing, and analysis to support delivery of high quality business solutions, including data quality checks and identifying inconsistencies.
Collaborate with stakeholders to collect data, map data flows, define requirements, and standardise data processes related to securitisation and structured finance transactions.
At least 12+ years of experience as Data Analyst or Data & Business Analyst in financial services with hands-on experience in RMBS, Synthetic Risk Transfer, securitisation, and structured finance.
Advanced proficiency in SQL and Excel for analysing large and complex datasets.
Strong knowledge of securitisation and structured finance products, including transaction lifecycles and risk mitigation techniques.
Work location: Bangalore, India; all working days must be carried out in India.
Experienced in translating complex business requirements into detailed data specifications and technology solutions within securitisation or structured finance contexts.
Proven ability in data quality management, root cause analysis, and process improvement in financial services data functions.
Strong stakeholder management skills with experience influencing across business and technology teams.