Skills & Experiences Required:
• 2+ years of experience in model validation , implementation, or risk analytics, preferably within the banking or credit card industry .
• Perform independent validation of models, including stress testing, back-testing, and sensitivity analysis , XGBoost to assess the accuracy, reliability, and stability of models.
• Strong understanding of statistical and machine learning concepts , including regression, classification, clustering, and neural networks.
• Experience with statistical testing, hypothesis testing, and data validation techniques
• Proficiency in Python, SQL, data analysis and model implementation.
• Excellent written and verbal communication skills to present technical findings to non-technical stakeholders
• Good to have regulatory understandings such as Basel , OCC, Federal Reserve.
• Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related field. Advanced degrees are preferred.
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