This position requires a Masters degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Physics, or related, and 3 years of relevant work experience or a Bachelors degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Physics, or related, and 5 years of relevant work experience. In addition, experience with the following skills is required 1 Using SQL and SAS, python or other statisticalanalytical programming languages to manipulate large amounts of data, extract key insights from the data, and then clearly and concisely communicate actionable recommendations based upon insight; 2 Working independently to identify new segmentation opportunities using statistical methods such as decision tree, clustering, leading to enhancements to decision process and policies; 3 Developing predictive financial and analytical models using the appropriate statistical methodologies, including trend and regression analysis, classification, machine learning algorithm and credit risk scorecard; and 4 Extracting, loading and transforming data from multiple sources necessary for statistical, reporting and adhoc analysis.br br ADDENDUM to H.4, H.8, H.10br br PRIMARY REQUIREMENTS Masters degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Physics, or related, and 3 years of relevant work experience.br br ALTERNATIVE REQUIREMENTS Bachelors degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Physics, or related, and 5 years of relevant work experience.br br TMobile requires all employees in this position to be fully vaccinated for COVID19 prior to starting work, unless precluded from doing so by applicable law. The CDC currently defines fully vaccinated as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson Johnson. TMobile will require proof of vaccination prior to successful applicants first day of work, and will consider requests for exemption from this requirement during the offer phase 1 as are reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not cause TMobile undue hardship or pose a direct threat to the health and safety of others, or 2 for other reasons under applicable law.
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