|Final year Master’s students or recent postgraduates in: Mathematics, Data Science, Quantitative Finance, Statistics, Econometrics, Engineering or other studies with a strong Quantitative component. Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, clustering, etc.), statistical programming languages (SAS, R, Python, Matlab, etc.)and big data tools and platforms (Hadoop, MongoDB, Cassandra, Pig, Hive, etc.).
- High level of English. Knowledge of other languages would be an asset.
- Availability to travel.
- Other aspects: solid academic background, dynamic, eager for self-improvement, hardworking, mature, responsible, finds it easy to integrate into multidisciplinary teams.