Back
Tier-1 bank, mid-level analytics role in metro with broad toolset attracts many qualified applicants.
Strong credit-card domain requirement makes transferable backgrounds limited, favoring domain-experienced candidates.
Explicit 5+ years, credit-card domain requirement and mandatory SAS/SQL/Tableau skills enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead complex, cross-functional business analysis and modeling initiatives within Credit Card Risk Analytics including data aggregation, stress testing, and portfolio analysis.
Review and manipulate complex programming models and databases to provide statistical and financial modeling for Credit Card products and processes.
Manage pilot program rollouts from modeling outcomes and make decisions on product strategies, data modeling, and risk exposure aligning with regulatory and compliance requirements.
Minimum 5+ years of experience in Risk Analytics, preferably in credit card domain focusing on Recovery Strategy analytics and related roles.
Bachelor’s degree or higher in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences.
Hands-on experience in credit risk analytics including credit strategy, modeling, forecasting, or data architecture & management.
Proficiency in SAS, SQL, Excel, VBA, Macros, R, Python and visualization/BI tools such as Tableau or SAS Visual Analytics.
Experienced in leading large, complex analytics projects within the credit card domain, especially related to credit risk and recovery strategy.
Skilled in developing predictive models and monitoring frameworks that inform credit policies and risk appetite, with a strong grasp of P&L and risk drivers.
Operates effectively under pressure in dynamic environments, demonstrating strong project management and cross-functional collaboration capabilities.