Copenhague / Graduate / Number of vacancies: 2

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/platforms (Hadoop, Hive, etc.).
• Solid academic record.
• Postgraduate studies or specialized courses in Data Science, Quantitative Finance, or related fields are an asset.
• Knowledge of additional languages is desirable.
• Proactive attitude, maturity, responsibility, and strong work ethic.
• Ability to learn quickly.
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