Expert in Python
Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn)
Degree in Mathematics, Computer Science, Statistics, or related STEM field from top ranked University
Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory
Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts
Preferred Experience
Hands-on experience on predictive data-science project
Experience working with multiple data sets and manipulating data (assessing, cleaning, creating features, etc.)
Highly Valued Relevant Experience
Extremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environment
Entrepreneurial mindset
Curiosity and critical thinker
Eagerness to learn and grow professionally
* Highly organized, eager to improve and create tools in order to increase efficiency and to scale up the research effort
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