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• Bachelor/Master/PhDs Degree in a quantitative field (computer science, financial engineering, mathematics, data science or engineering)
• Experience using one or more programming languages (Python, R, C++, Java, Matlab, etc.) and manipulating data using SQL and Pandas
• Excellent written and verbal communication skills for coordination across teams
• Understanding of design, development and implementation of mathematical, financial risk and ML models
• Nice to have knowledge of advanced statistical techniques and concepts (regression, time series analysis, statistical tests, etc.)