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

• Recent graduates or final-year students.
• Desirable knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools and platforms (Hadoop, Hive, etc.).
• Solid academic record.
• Postgraduate studies and/or specialized courses are an asset, especially in Data Science, Quantitative Finance, or similar fields.
• Knowledge of other languages is desirable.
• Positive attitude, maturity, responsibility, and strong work ethic.
• Ability to learn quickly.
• Ability to integrate easily into multidisciplinary tea...