Samvel P. Gevorkyan in

Samvel P. Gevorkyan

Critic · DISC type C
Quantitative Researcher, Crude Oil and Gas Trading at Freepoint Commodities
📍 New York, New York, United States

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.

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Experience
7 Years
Current Role
Quantitative Researcher, Crude Oil and Gas Trading
Location
New York, New York, United States
Personality Overview

How Samvel shows up

Negotiator
Information Seeker
ROI Driven

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.

Priorities

Topics Samvel cares about

ML in Trading
His work and academic talks focus on practical applications of machine learning, including deep learning and unsupervised learning, for trading financial instruments.
Energy Commodities
He professionally manages a crude oil and natural gas portfolio, indicating deep expertise in energy markets.
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Career

Work history

2-2018
Quantitative Researcher, Crude Oil and Gas Trading
Freepoint Commodities
6-2016 - 8-2016
Risk Management Summer Analyst
HSBC
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
2016 - 2018
Master’s Degree
Columbia University
2012 - 2016
Bachelor’s Degree
UCLA
Social presence
in
Behavioral profile

DISC profile (public)

C

Calculativeness (C)

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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