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Implement the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing. Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets. Conduct studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms. Analyze key metrics and perform data analysis. Build technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms. Conduct research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business. Develop and apply algorithms or models to key business metrics with the goal of improving operations or answering business questions. Present findings and analysis for use in decision making. Ensure that the delivered products meet the business needs of the company. Partner with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership.

Master’s degree in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field.

Academic or professional experience must include: Identification of business issues and map these issues into quantitative questions; applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques; work with Python, R, Excel, Word, PowerPoint; design and implementation of model documentation and monitoring protocols; work with technical systems, datasets, data warehouses, and data analysis techniques and efficiently work with large datasets; strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics.

Send resume to recruitment@gmfinancial.com or by mail to: Y. Castillo Valdivia, Human Resources, 801 Cherry Street, Suite 3500, Fort Worth, TX 76102. Reference DSII-YZ1