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John Skelton
Quantitative Research Intern at Richfox Capital
Quantitative research professional with expertise in machine learning and financial modeling.
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Location
Zug, Zug, Switzerland, CH
Languages
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English Native or bilingual proficiency
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German Native or bilingual proficiency
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French (B1) Limited working proficiency
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Spanish (B1) Limited working proficiency
Bio
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Topline AI
John Skelton is a quantitative research professional with expertise in machine learning, stochastic calculus, and financial modeling. He holds a Master's degree in Mathematics from ETH Zurich and a Bachelor's degree in Mathematics from the International School of Zug and Luzern. Skelton has experience in alpha research and has worked as a Quantitative Research Intern at Richfox Capital.
Experience
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Richfox Capital
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Zurich, Switzerland
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Quantitative Research Intern
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Jul 2023 - Dec 2023
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Zurich, Switzerland
Mostly alpha research with a focus on volatility.
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Education
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2022 - 2023ETH Zürich
Master's degree, Mathematics -
2019 - 2023
ETH Zürich
Bachelor's degree, Mathematics -
2014 - 2019
International School of Zug and Luzern
International Baccalaureate, 43/45 -
University of Cambridge
Immerse Summer Mathematics Programme
Suggested Services
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Industry Focus. “Investment Management”
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