Job purpose
The Sr Analyst, Credit Risk is responsible for Loss forecasting, CECL for the Risk Management organization within Regional Management. This positions will utilize advance skills to analyze data, portfolio level performance trends, and forecasting skills to support credit risk functions.
Duties and responsibilities
Quantitative analysis of Loss forecasting, CECL, ongoing- performance monitoring, and documentation
Executes CECL, Loss forecasting models and support audit process
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
Master’s degree in Statistics, Data Analytics, Economics, Math, or similar
2+ years of consumer finance, risk analytics, or relevant experience
Experience in data mining, modeling and analyzing analytic findings using SAS, Python, R.
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, Python, R.
Experience analyzing marketing data in a financial environment.
Experience developing risk models for a financial institution.
Critical Competencies
Excellent oral and written communication skills – 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.