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Majoring in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, Machine Learning, Financial Engineering, or a related field
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Strong programming skills, ideally in Python and a familiarity with Linux
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Experienced with quantitative / statistical analysis, or numerical / optimization methods
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Excellent problem-solving skills with attention to detail along with strong communication skills, both written and verbal
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Ability to work independently and collaborating in a team-oriented environment
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An overall interest and basic understanding of the financial industry, finance related quantitative products, and trading technology
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A high degree of initiative, motivation, and interpersonal skills
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Track record of superior performance in extracurricular or professional activities
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An undergraduate or graduate degree from an educational institution in computer science with a quantitative application such as mathematics and/or finance, or vice versa – a quantitative degree with a computer science application
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Demonstrated professional or academic success (recent graduates are encouraged to apply)
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Strong analytical, quantitative, and problem solving skills
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Experience implementing production-grade Python code for a data analytic business, preferably in investment management
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Expert programming skills in Python with pandas and numpy
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Expertise in OOP paradigms, data structures, and numerical algorithms
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Understanding of probability and statistics, including linear regression and time-series analysis
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Curiosity and a willingness to learn new technologies
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Interest in financial markets (prior experience not required)
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Excellent communication skills, including data visualization
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High energy and strong work ethic
