Sr Analyst – Credit Risk Mgmt – Data Science and Modeling

Sr Analyst – Credit Risk Mgmt – Data Science and Modeling

Requirements

• Bachelor’s Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree – Required
• 5+ years of quantitative analytic modeling experience or comparable process management experience
• Intermediate or higher proficiency in SAS or other statistical/analytical programming languages
• Proficiency in SQL, C++, Python, R or other statistical software packages
• Superior computer skills in Excel, Word, PowerPoint required
• Superior communication (spoken and written), organization and presentation skills
• Superior time management skills and awareness of project management methods

Responsibilities

• Develop, maintain, and monitor credit attributes from both external credit bureau data as well as internal customer behavior data
• Design, develop, maintain, and monitor Credit Risk models emphasizing both prediction accuracy, and the impact to losses and profitability
• Utilize statistical segmentation techniques to identify new opportunities
• Perform complex qualitative and quantitative analysis of credit polices to ensure financial goals are being attained
• Develop predictive financial and analytical models using the appropriate statistical methodologies, including trend and regression analysis
• Participate and perform the analysis of new data and statistical products by external vendors
• Perform loss forecasting analysis
• Extract, process and transform data from multiple disparate sources
• Analyze credit bureau and alternative credit data
• Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines

Preferred Qualifications

• Masters degree or Phd in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree – Preferred
• Prior consumer risk management experience a plus
• Wireless / Telecom experience a plus