statistical modeler em barueri

data de publicação
tatiana cristina lopes meller ordonez, randstad
tipo de emprego
candidate-se agora

detalhes do trabalho

vagas disponíveis
data de publicação
barueri, são paulo
tecnologia da informação
tipo de emprego
número de referência
tatiana cristina lopes meller ordonez, randstad
candidate-se agora

descrição da oportunidade

This position exists to conduct statistical analysis and build predictive models for a variety of
performance outcomes such as risk and fraud for banks and/or financial institutions. The incumbent will have experience in data mining, statistical methods, and multiple modeling/scoring techniques

1. Develop scoring models and statistical analysis; provide code to customers or internal contacts
to validate accuracy of production scoring code.
2. Follow modeling best practices and provide feedback on ways to enhance current practices.
3. Build statistical models and complete various analytic projects for a variety of applications
including risk and fraud.  These projects will support internal development projects as well as
client sponsored projects. 
4. Suggest/build software tools to streamline the building of models and other analytics.
5. Research and design advanced scores, attributes and indexes through exploration of across a
wide range of data sources. 
6. Researches best practices and new technologies

Bachelor’s degree in statistics, mathematics or quantitative methods (or equivalent year’s experience) .
Master Degree preferred.
1. Great experience demonstrated applied modeling and analytics experience in banks or financial
2. Strong understanding of statistical methods applied to data analysis for consumer       
3. User of R, SAS or Python.
4. Understanding of various statistical methodologies including logistic regression, gbm and other
advanced analytic techniques. 
5. Experience developing credit risk score for consumer using financial information. 
6. Experience processing large data sets.
7. Experience matching/merging multiple data sets
8. Strong oral and written communication

Fluent in English and Portuguese
Work location: Alphaville