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Tier-1 brand, metro location, and a common project manager title increase competition significantly.
Requires credit risk and banking process expertise, limiting transferability across industries.
Banking regulatory environment, domain-specific credit risk expectations, and mandatory SQL raise shortlist rigidity.
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Lead business and functional analysis for credit risk processes, controls, and data within the Design & Analysis team.
Manage complex data investigations, root cause analysis, and definition of business/functional data requirements aligning with bank data standards.
Contribute to AI solution design to solve complex business problems, automate processes, and analyze large datasets.
Experience in business/data analysis within credit risk or related functions - Work Experience Required: Not explicitly mentioned in the JD.
Strong skills in SQL and Excel or Access for data analysis; Python is an advantage.
Knowledge of credit risk workflows (ratings, limit setting, reporting, distressed processes) and credit-related data (exposure, limits, ratings, risk mitigants).
Experience with Confluence and JIRA tools.
Experienced in credit risk business process and data analysis with functional knowledge of credit workflows and relevant data domains.
Capable of handling complex data analysis and problem-solving with strong technical skills in SQL and Excel/Access and familiarity with Python.
Comfortable working within cross-functional teams involving subject matter experts, business architects, analysts, and engaging in AI-driven innovation initiatives.