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 quant support to business and R&D projects.

Requirements

• Recent graduates or final year students in disciplines related to Mathematics, Physics, Statistics, Econometrics, or other quantitative fields. A Master's degree may influence salary conditions.
• Postgraduate studies or specialized courses in Data Science, Quantitative Finance, or similar are assets.
• Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools (Hadoop, Hive, etc.).
• Solid academic record.
• Knowledge of additional languages is desirable.
• Proactive attitude, maturity, responsibility...