• Dominate of database concepts and SQL
• Rigorous understanding of statistics and ability to discern appropriate statistical techniques to problem-solve
• Proficient in Python programming language and familiar with Numpy, Pandas, Matplotlib libraries
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, etc. and their real-world advantages/drawbacks
• The ability to visualize and communicate the results (the ability to extract practical knowledge from raw data and storytelling based on the results)
• Familiar to Git
• Bonus skills:
Prior work experience in the financial industry
Familiarity with deep learning and its frameworks