Sr Quantitative Representative - Pricing
GM Financial - La Finca, Nuevo León
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Monterrey, NLE, Mexico and 3 moreJob Description Why Quantitative Pricing at GM Financial?The Sr Quantitative Analyst - Pricing plays a key role in enhancing pricing strategies and processes through pricing model development and data driven business solutions. The Associate will focus on improving model integrity and accuracy through the collection, analysis, interpretation, and presentation of origination and forecast data. They will also apply advanced quantitative and analytical skills to improve decisions supporting various internal clients. This position will interact with many other departments to achieve overall company objectives.Responsibilities About the roleDevelop and maintain complex pricing models and perform profitability analysis for all of International OperationsMonitoring and validating model performance and updating models as neededDeveloping and maintaining various databases, technical models, and reports required to support product and pricing proposals and analytic responsibilitiesConducting ad hoc projects incorporating project design, data collection, model development, and analysisSummarizing findings and presenting resultsDeveloping recommendations for pricing policies and proceduresGathering and analyzing data to determine impact to company profitability and financialsProviding direction, training, and guidance to less experienced pricing and finance personnel and leading projects or special assignments as requiredWhat makes you an ideal candidate?Strong quantitative, analytical and data mining skillsAbility to identify and understand business issues and map these issues into quantitative questionsEfficient modeling skills with very large datasets using SAS, SQL, Python, or RProficiency in statistical experimental design or econometricsAbility to design and implement model documentation and monitoring protocolsDemonstrated understanding and experience with technical systems, rational datasets, data warehouses, data mining, and data analysis techniquesAdvanced knowledge of principles, standards, practices, and techniques relating to profitability modeling for a financial firmKnowledge of applied statistical methodologies including multiple regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, multivariate methodologies, Bayes networks, non-parametric techniques, principal components, and linear programming techniquesEffective written and verbal presentation skills with an ability to communicate well with Senior ManagementOrganized, detail oriented, and ability to work independently with minimum instruction or supervisionAn ability to interact collaboratively with internal customers and external vendorsCapable of managing multiple and varied projects including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, and meeting deadlinesDemonstrated quantitative skills and ability to apply complex financial and mathematical principlesAdvanced process and model documentation skillsAdvanced Excel, SQL, Python, R, and/or SAS software skillsGood Word and Power Point skillsQualifications2-4 years of related work experience or similar quantitative field Req AndGreater than 5 years of modeling experience and strong coding skills ReqBachelor’s DegreeJob InfoJob Identification 1740Job Category FinanceDegree Level Bachelor's DegreeJob Schedule Full time#J-18808-Ljbffr
Creado: Jue, 01 de Ene de 1970