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.