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Tier-1 brand, mid-level experience, metro location, and broad analytics skillset increase competition.
Role demands domain-specific credit risk and regulatory expertise, making cross-industry transferability limited.
Requires explicit credit risk analytics experience, regulatory knowledge, and multiple mandatory tools like SAS and SQL.
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Lead or participate in moderately complex risk analytics initiatives, delivering insights and decision strategies related to credit risk and reporting.
Responsible for process production, data reconciliation, model documentation, and resolving data and modeling issues within risk analytics teams.
Develop monitoring frameworks, dashboards, and predictive solutions to manage credit risk and influence strategic decisions alongside senior leadership.
4+ years of Risk Analytics experience (through work experience, training, military experience, or education).
Experience in credit and risk analytics with knowledge of credit strategy, modeling, forecasting, and data management.
Proficiency in programming/statistical tools such as SAS, SQL, VBA, R, Python, Tableau, or SAS Visual Analytics.
Advanced degree in quantitative disciplines (e.g., statistics, finance, engineering, economics).
Experienced in leading analytics projects with moderate to high business risk, capable of managing multiple stakeholders and mentoring teams.
Strong expertise in credit risk domain including credit card lending practices, risk drivers, and regulatory requirements.
Able to apply advanced statistical and machine learning techniques to credit risk modeling and develop actionable insights through visualization tools.