Principal Associate, Quantitative Modeler
Company Name:
Numeric Recruiting and Staffing
This position is part of our Risk Management division. Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment.
Responsibilities:
? Development, enhancement and implementation of statistical and other quantitative models to support loss forecasting, Basel and economic capital calculations, and other business applications
? Understanding technical issues in econometric and statistical modeling and applying these skills toward solving business problems
? Full ownership of the model development process: from conceptualization through data exploration, model selection and validation, implementation, business user training
? Monitoring statistical model performance and providing technical guidance to business leadership
? Identifying opportunities to apply quantitative methods to improve business performance
? Communicating technical subject matter clearly and concisely to individuals from various backgrounds
Qualifications
Basic
Qualifications:
? Master?s degree in Econometrics, Statistics, Mathematics, or another related field of study
? 1 year of experience in key econometric and statistical techniques (predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, data mining methods, and other advanced statistical and econometric techniques)
? 1 year of experience using SAS
Preferred
Qualifications:
? Ph.D in Econometrics, Statistics, Mathematics or other related fields of study
? Experience working with very large datasets
? Background and experience in consumer or commercial risk, especially scoring, and forecasting models
? Ability to communicate effectively and influence othersEstimated Salary: $20 to $28 per hour based on qualifications.
Numeric Recruiting and Staffing
This position is part of our Risk Management division. Successful candidates will partner cross-functionally with business throughout the company to deliver breakthrough analytical solutions to support a winning strategy in a continually changing business environment.
Responsibilities:
? Development, enhancement and implementation of statistical and other quantitative models to support loss forecasting, Basel and economic capital calculations, and other business applications
? Understanding technical issues in econometric and statistical modeling and applying these skills toward solving business problems
? Full ownership of the model development process: from conceptualization through data exploration, model selection and validation, implementation, business user training
? Monitoring statistical model performance and providing technical guidance to business leadership
? Identifying opportunities to apply quantitative methods to improve business performance
? Communicating technical subject matter clearly and concisely to individuals from various backgrounds
Qualifications
Basic
Qualifications:
? Master?s degree in Econometrics, Statistics, Mathematics, or another related field of study
? 1 year of experience in key econometric and statistical techniques (predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, data mining methods, and other advanced statistical and econometric techniques)
? 1 year of experience using SAS
Preferred
Qualifications:
? Ph.D in Econometrics, Statistics, Mathematics or other related fields of study
? Experience working with very large datasets
? Background and experience in consumer or commercial risk, especially scoring, and forecasting models
? Ability to communicate effectively and influence othersEstimated Salary: $20 to $28 per hour based on qualifications.
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