Data Analyst- 100% Remote

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Position Data Analyst Duration 12 Months Location 100 Remote Experience with data-mining, SQL, programming (SAS, Python, R). Master’s is a must-have Position Description Develop and implement statistical models, in particular CECLIFRS9 related credit loss forecasting models to support business questions using programming languages – SAS, Alteryx, and Tableau Perform Credit Loss Analyses for Finance and Treasury (mainly USA and Canada focused, global analyses as well) Implement and perform Calendarized Purchase Expectation (CPE) models to forecast credit loss for auto loans Maintain and improve operational models through their lifecycle. Conduct process control and model validation Work with data sources on multiple platforms (IBM Mainframe, UnixLinux, and Teradata) Support securitization through risk analysis and reporting Collaborate with business partners in Residual Risk Operations, Funding Support, Securitization Operations, Treasury, Ford Credit Europe, Finance and Pricing to support them with regular reports as well as answer ad-hoc requests Work closely with internal and external regulators Skills Required 1+ years of programming skills (i.e. SAS, Python, R) ndash internship and coursework allowed Experience Required 1+ years of SQL experience (internship and coursework allowed) 1+ year of experience with data mining (internship and coursework allowed) Education Required Masterrsquos Degree in Statistics, Econometrics, Applied Mathematics or other related field of study. Or a Bachelor’s Degree and currently pursuing and completing the aforementioned Master’s Degree no later than May 2022