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Tier-1 bank, metro location, and a common analyst title driving high candidate density.
Role requires banking-specific credit risk expertise, limiting transferability across industries.
Explicit 1–2 years banking credit experience and formal credit training increase selectivity.
Provide data analytics and credit risk analysis support to Lead Reviewers for portfolio monitoring and credit reviews.
Evaluate credit analyses, exposure calculations, risk ratings, and asset classifications for compliance with institutional policies.
Leverage AI and machine learning tools to identify thematic risk trends and assist in preparing reports and presentations for governance and regulatory purposes.
1-2 years of credit analysis or credit risk management experience in a global financial institution or banking environment.
Bachelor’s degree in Economics, Finance, Accounting, or related quantitative field.
High proficiency in Microsoft Office; knowledge of Python is highly advantageous.
Formal credit training or strong understanding of financial accounting standards and credit analysis methodologies.
Experience in assessing creditworthiness of Corporates and Financial Institutions is highly advantageous.
Comfortable working with advanced AI and data analytics tools within credit risk contexts.
Ability to translate qualitative risk observations into data-backed evidence and communicate complex concepts clearly to senior management.