Samvel Gevorkyan is a Quantitative Researcher at Freepoint Commodities, where he manages a crude oil and natural gas portfolio. A graduate of Columbia University and UCLA, he builds trading strategies using probabilistic machine learning, from alpha factor engineering to deployment.
He maintains strong ties to the academic community, demonstrated by his engagement as a guest speaker at his alma mater, Columbia University. Samvel shows a clear interest in discussing complex financial topics and mentoring the next generation of quantitative professionals.
As an alumnus, he was invited to speak at Columbia Universitys Mathematics of Finance Seminar on risk premia and machine learning applications.
Read the full overview →They prefer to do logical analysis and value evidence over emotions. Unless the value is proven by data, they are unlikely to value fancy features. It is very likely that they will negotiate pricing or other important terms.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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