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Tier-1 brand, generalist data role, metro location and broad skill requirements increase candidate competition.
Credit risk subject-matter focus makes cross-industry transfer limited despite transferable data skills.
Mandatory SQL requirement and domain knowledge preference create moderate filtering.
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Perform business and functional analysis across credit risk change initiatives focusing on process design, controls, data investigation, and root cause determination.
Analyze and manage complex datasets related to credit workflows, exposure, limits, ratings, and party reference data to ensure data quality and alignment with bank standards.
Leverage AI tools to design solutions that automate manual processes and solve complex business problems within global Credit Risk Management.
Proven experience in business and data analysis within credit risk or related credit processes.
Strong skills in SQL and advanced Excel and/or Access for data analysis; Python knowledge is advantageous.
Familiarity with credit risk data elements such as exposure, limits, ratings, risk mitigants, and party reference data.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working in credit risk domains, including credit workflows, limit setting, and distressed processes, with a good understanding of credit data hierarchies and metrics.
Operating style focused on detailed functional and data analysis with strong root cause investigation capabilities.
Comfort with using collaboration tools like Confluence and JIRA and applying AI responsibly to optimize workflows.