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Company Info

Neiman Marcus
United States

Company Profile


Data Modeller


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Job ID:

5358

Location:

Dallas, TX, United States 

Category:

QlikView, Tableau, SAS, Social Media Analytics, SPSS, Statistics
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Job Views:

945

Posted:

06.07.2017
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Job Description:

The Data Modeller plays a key role in enhancing origination strategies and portfolio servicing strategies through the development of data driven business solutions. This position focuses on improving loan acquisition, credit risk and account management strategies through the collection, analysis, interpretation and presentation of origination and portfolio data.
He is responsible for developing statistical models, performing statistical analysis and developing predictive models for loan acquisition and loan servicing purposes; monitoring and validating model performance and updating models as needed; developing and maintaining various databases, technical models and reports required to support research, data gathering, and analytic responsibilities; conducting ad hoc research projects incorporating project design, data collection and analysis; summarizing findings and presenting results; developing recommendations for operational policies and procedures; gathering and analyzing data to determine impact to business operations.  

Job Requirements:

Skills

  • Effective written and verbal presentation skills with an ability to communicate well with management; organized, detail oriented and ability to work independently with minimum instruction or supervision; an ability to interact collaboratively with internal customers and other statisticians; capable of managing multiple and varied projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines; demonstrated quantitative skills and ability to apply complex statistical principles.

Knowledge

  • Strong quantitative, analytical and data mining skills; ability to identify and understand business issues and map these issues into quantitative questions, efficient modeling skills with very large datasets; proficiency in econometric or statistical experimental design, ability to design and implement model documentation and monitoring protocols, demonstrated understanding and experience with technical systems, rational datasets, data warehouses, data mining, and data analysis techniques; advanced knowledge of principles, standards, practices and techniques relating to statistical modeling for a financial firm; advanced knowledge of applied statistical methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis,  decisions trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques; solid understanding of credit bureaus and the structure of their credit files; knowledge of the laws that cover the usage of statistical models under the Equal Credit Opportunity Act; good Word and PowerPoint skills, advanced Excel spreadsheet skills, advanced SAS software skills including basic data functions, macros and SQL.

Experience

  • Master’s degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field and 2 to 5 years of years of related work experience or Bachelor’s degree in previous areas with 5+ years of modeling experience and strong SAS skills.




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