Overview This position provides risk analytics and research support for credit loss modeling and credit risk analytics. Produce automated reports on data quality, model input and output stability, and model outcomes analysis. Additionally, the position will assist in minimizing risk, evaluating ongoing processes, and maintaining compliance with rules and regulations. Responsibilities Monitoring and Data Planning – Produces analysis on data elements, inputs and outputs, and outcomes related to credit loss models that is used by key stakeholders Code Development, Analysis, and Maintenance – Assist in testing, developing, and quality assurance related to Python model and SQL Query related code elements Reporting – Helps in production of key reporting for internal and external support including audit and regulatory compliance on model outputs Operational Support – Develops, implements, and assists others in enacting approved best-practices in implementation python code Works closely with team members to deliver accurate and complete analysis Qualifications Bachelor's Degree and 2 years of experience in Risk Analytics or Analytics OR High School Diploma or GED and 6 years of experience in Risk Analytics or Analytics Required experience/ skills: Experience with SQL Experience with Python Understanding of temporal or econometric modeling paradigms Experience with large data sets Experience with database systems