Tiger Analytics
Job Description: Senior Credit Risk Manager Tiger Analytics is an advanced analytics consulting firm and a trusted partner for Fortune 100 companies, specializing in Data Science, Machine Learning, and AI. Recognized by Forrester and Gartner, we seek a professional with a blend of business consulting skills and data analytics experience, passionate about solving unstructured business problems using data.
Ready to make your application Please do read through the description at least once before clicking on Apply. Role Overview:
We are looking for an analytics professional from the banking and financial services industry with Credit Risk Policy & Risk Management experience. The role involves managing the overall Risk Forecasting vertical. Responsibilities
Translate credit policy decisions into portfolio forecasts, understanding portfolio maturation, policy impact on loss trajectories, and risk severity. Perform variance analysis by projecting and tracking actuals, explaining variances against forecasts and their drivers. Incorporate various models, including vintage-driven, stochastic, and challenger orthogonal models. Communicate variance explanations and insights clearly to senior management. Requirements
8-15 years of experience in Banking, specifically in credit cards. Experience in Credit Cards, including Credit Policy (acquisition, existing client management; fraud/collections experience not required). Strong understanding of vintage models, roll rate models, and time series risk models. Ability to translate credit policy and macroeconomic inputs into portfolio impacts, considering factors like DQ, FICO concentration, exposure, and losses. Mandatory US Credit Cards domain experience. Proficiency in coding and data analysis tools: Python, Databricks Notebooks, SQL, Excel, PowerPoint. Benefits Opportunity for significant career development in a dynamic, entrepreneurial environment with high individual responsibility. Additional Details
Seniority Level: Mid-Senior level Employment Type: Full-time Job Function: Consulting Industry: IT Services and Consulting
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Ready to make your application Please do read through the description at least once before clicking on Apply. Role Overview:
We are looking for an analytics professional from the banking and financial services industry with Credit Risk Policy & Risk Management experience. The role involves managing the overall Risk Forecasting vertical. Responsibilities
Translate credit policy decisions into portfolio forecasts, understanding portfolio maturation, policy impact on loss trajectories, and risk severity. Perform variance analysis by projecting and tracking actuals, explaining variances against forecasts and their drivers. Incorporate various models, including vintage-driven, stochastic, and challenger orthogonal models. Communicate variance explanations and insights clearly to senior management. Requirements
8-15 years of experience in Banking, specifically in credit cards. Experience in Credit Cards, including Credit Policy (acquisition, existing client management; fraud/collections experience not required). Strong understanding of vintage models, roll rate models, and time series risk models. Ability to translate credit policy and macroeconomic inputs into portfolio impacts, considering factors like DQ, FICO concentration, exposure, and losses. Mandatory US Credit Cards domain experience. Proficiency in coding and data analysis tools: Python, Databricks Notebooks, SQL, Excel, PowerPoint. Benefits Opportunity for significant career development in a dynamic, entrepreneurial environment with high individual responsibility. Additional Details
Seniority Level: Mid-Senior level Employment Type: Full-time Job Function: Consulting Industry: IT Services and Consulting
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