Principal Associate - Quantitative Modeler

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Job Title:
PRINCIPAL ASSOCIATE - QUANTITATIVE MODELER
Job Description:
Job ID(18420)
Leading financial services firm seeks Quantitative Modelers for its 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

    Basic Qualifications:
  • Masters Degree in Econometrics, Statistics, Mathematics or another related field of study
  • At least 2 years of experience in Statistics or related quantitative field
  • At least 2 years of experience in Risk Management
  • At least 1 year of experience in Statistical modeling techniques such as linear regression, logistic regression, decision trees, neural networks, survival analysis

    Preferred Qualifications:
  • PhD in Econometrics, Statistics, Mathematics or other related fields of study
  • Proficiency 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)
  • Experience with very large datasets
  • Background and experience in consumer or commercial risk, especially scoring, and forecasting models
  • Authorization for continual employment in the United States
  • Strong SAS programming skills
  • Ability to communicate effectively and influence others

    Recruiter: Howard Fishman

  • Salary: $70 - $105K (based upon experience) Location: Washington DC suburbs (VA)
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