Analyst - Model Validation & Implementation - Banking/Credit Card Industry

Model Validation & Implementation Analyst

Job Description:

- 2+ years of experience in model implementation, validation, or risk analytics, preferably within the banking or credit card industry.

- Hands-on experience with statistical modeling, machine learning algorithms, and data analysis.

- Familiarity with credit risk modeling, fraud detection models, or customer behavior analytics is a plus.

- Proficiency in programming languages such as Python, data analysis and model implementation.

- Experience with database management systems (e.g., SQL) and data visualization tools (e.g., Tableau, Power BI).

- Strong understanding of statistical and machine learning concepts, including regression, classification, clustering, and neural networks.

- Strong problem-solving skills with the ability to analyze complex datasets and extract meaningful insights.

- Experience with statistical testing, hypothesis testing, and data validation techniques.

- Perform independent validation of models, including stress testing, back-testing, and sensitivity analysis, to assess the accuracy, reliability, and stability of models.

- Evaluate the assumptions, methodologies, and data inputs used in model development and ensure they comply with regulatory standards and best practices (e.g., Basel, SR11-7).

- Collaborate with data scientists and model developers to implement statistical models for credit risk assessment, fraud detection, and customer behavior analysis.

- Ensure accurate and efficient deployment of models into production systems, working closely with IT and engineering teams to integrate models into banking platforms.

- Ensure all models comply with regulatory requirements, such as Basel, OCC, Federal Reserve, and other applicable regulations.