Sr Credit Risk Analyst

Regis University•Plano, TX

23h

About The Position

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times. We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team. If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board! Job purpose The Senior Credit Risk Analyst is 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.

Requirements

Bachelor’s 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.
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.

Nice To Haves

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.

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.