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.