- Recent graduate or final year
student from disciplines relating to
Econometrics, Mathematics,
Statistics, Engineering, Data
Analytics, Business Administration,
Mathematical Finance, Quantitative Methods, Financial Mathematics, Physics…
- Should desirably have knowledge
of modeling techniques (logit, decision trees, clustering) and statistical programming languages (Python, R, SAS, Matlab).
- Solid academic record.
- Postgraduate studies and/or specialized courses are an asset especially in Data
Analytics, Quantitative Finance or similar.
- Knowledge of other languages, Big Data tools and cloud services (AWS, Azure, Google) desirable.
- Get-up-and-go attitude, maturity, responsibility and strong work ethic.
- Strong ability to learn quickly.
- Able to integrate easily into multidisciplinary teams.
- Strong computer skills