Job purpose

TheManager, Credit Riskis responsible for performance analysis, operational reporting, and business unit support for the Risk Management organization within Regional Management. This positions will utilize advance skills to analyze data, portfolio level performance trends, custom scorecard analysis, and forecasting skills to support credit risk functions.

Duties and responsibilities

• Mines, models, analyzes large datasets, and utilizes predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling techniques: linear/logistic regression, factor analysis, decision trees, clustering, segmentation, etc.
• Quantitative analysis of custom score models including , validation, ongoing- performance monitoring, and documentation
• Develops and supports complex models, analysis, and reporting related to customer approval, pricing and profitability.
• Forecasts performance of marketing campaigns and tracks actual campaign performance versus the forecast.
• Conducts ad hoc research projects incorporating project design, data collection and analysis, summarization of findings, and presentation of results.
• Handles data while utilizing interpretive and problem solving skills with the ability to process large volume of transaction level data and efficiently derive actionable results.
• Interacts with stakeholders to understand their business questions, crafting the methodology, to mine/analyze datasets utilizing SAS and ultimately delivers a final insightful recommendations to stakeholders.

Minimum Qualifications

• Master27s degree in Statistics, Data Analytics, Economics, Math, or similar
• 5+ years of consumer finance, risk analytics, or relevant experience
• Experience in data mining, modeling and analyzing analytic findings using SAS.
• Advanced programming skills in SAS and SQL.
• Moderate to Expert level skills in Microsoft Office Suite (Excel, Access, and Outlook a must)
• Must pass drug screen, criminal and credit background checks.

Preferred Qualifications

• Experience in Financial Services with consumer credit data utilizing SAS.
• Experience analyzing marketing data in a financial environment.
• Experience developing risk models for a financial institution.

Critical Competencies

• Excellent oral and written communication skills 6 especially the ability to explain complex analyses in easily understood terms.
• Excellent organizational skills with the ability to prioritize and handle multiple tasks and responsibilities simultaneously.
• Utilize appropriate analysis, judgment and logic when solving problems and making decisions.
• Demonstrated ability to apply complex financial and statistical principles.
• Effective written and verbal presentation skills; able to communicate well with Senior and Executive Management.
• Innovative problem solving, quantitative and analytical abilities.
• Detail-oriented.
• Able to work with minimal supervision.
• Flexible, proactive working style.
• Adaptive to a team environment.