Job Description
Buenos Aires / Graduate / Number of vacancies: 5
- Statistical data processing (data mining)
- Predictive modeling using machine learning and data science techniques
- Trend modeling (time series, ARIMA models)
- Development of simulation models (Monte Carlo)
- Review and validation of rating and scoring, RAROC and risk parameter models
- Mathematical support to the business: developing algorithms, statistics and probability models
- R&D projects
Requirements
- Recent graduates or final year students.
- Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering)
- Statistical programming languages (SAS, R, Python, Matlab)
- Big data tools and platforms (Hadoop, Hive, etc.)
- Solid academic record.
- Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
Ready to Apply?
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