Lima / Graduate / Number of vacancies: 5

You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (Monte Carlo), review of credit rating and scoring models, and providing quantitative support to business and R&D projects.

Requirements

• Final year students from disciplines related to Mathematics, Physics, Statistics, Econometrics, or other quantitative fields.
• Postgraduate studies or specialized courses are an asset, especially in Data Science, Quantitative Finance, or similar.
• Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools/platforms (Hadoop, Hive, etc.) is desirable.
• Solid academic record.
• Knowledge of additional languages is a plus.
• Proactive attitude, maturity, responsibility, and...