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Strong Tier-1 brand, metro location, mid-level generalist credit role, and common profile increase candidate competition.
High domain specificity; banking credit risk experience and policy knowledge limit cross-industry transferability.
Mandatory 3+ years banking credit experience and regulated-risk expectations create strict screening on domain expertise.
Provide data analytics and credit risk analysis support to Lead Reviewers for credit portfolio monitoring and reviews.
Evaluate credit analyses, exposure calculations, and risk ratings for compliance with policies across monitored portfolios.
Leverage AI and machine learning tools to identify risk trends and support credit risk projects, and assist in reporting to governance and regulators.
3+ 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.
Proficiency in Microsoft Office; knowledge of Python is highly advantageous.
Formal credit training or deep understanding of credit analysis methodologies and financial accounting standards.
Experienced in corporate and financial institution credit assessments with ability to evaluate creditworthiness and financial strength.
Skilled in translating qualitative risk observations into data-backed evidence and articulating complex risk concepts clearly.
Comfortable working independently and collaboratively in fast-paced settings using advanced AI/data analytics tools to drive credit risk insights.