Requirements |
- Recent graduates or final year students.
- Should desirably have knowledge of Artificial Intelligence modeling techniques (logit, GLM, time series, random forests, clustering, XGBoost), statistical programming languages(SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP).
- Solid academic record.
- Strong computer skills.
- Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Artificial Intelligence, Quantitative Finance or similar.
- Knowledge of other languages is desirable.
- Get-up-and-go attitude, maturity, responsibility and strong work ethic.
- Strong ability to learn quickly.
- Able to integrate easily into multidisciplinary teams.
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