Description

Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab)Solid academic record. Strong computer skills. 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.

Role and Responsibilities

• Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields. Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.