Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 bank, mid-level analytics role in metro with broad toolset and domain skills increases competition.
Strong credit-card risk domain expertise and recovery strategy experience limit cross-industry transferability.
Explicit 5+ years, credit-card domain mandates, and specific SAS/SQL/Tableau skillset create strict shortlisting.
Lead and implement complex risk analytics initiatives in the credit card domain, focusing on portfolio analysis, stress testing, and risk management solutions.
Design, develop, and roll out predictive models and pilot programs impacting originations, collections, recoveries, payments, deferrals, and delinquency processes.
Manage cross-functional teams, mentor staff, and collaborate with business leaders to influence credit culture, risk appetite, and compliance adherence.
Bachelor’s degree in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics, or computer sciences.
Minimum 5+ years of progressive experience in credit card risk analytics, specifically in areas like recovery strategy analytics, credit strategy, modeling or forecasting techniques.
Hands-on expertise in programming and statistical tools including SAS, SQL, Excel VBA, R, Python, Tableau, or similar BI/automation tools.
Strong understanding of credit risk domain, including P&L and risk drivers; ability to handle complex data manipulation (Oracle, Teradata).
Experienced in leading large-scale risk analytics projects with demonstrated ability to integrate business insights and regulatory compliance requirements.
Highly skilled in advanced statistical modeling and machine learning techniques applicable to credit risk and portfolio management.
Proven operational leader with strong project management capability to prioritize and drive results in fast-paced, complex environments.