Alejandro Carderera de Diego
Quantitative Researcher at Quantfury- Claim this Profile
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Bio
Experience
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Quantfury
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Bahamas
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Financial Services
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1 - 100 Employee
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Quantitative Researcher
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Jan 2022 - Present
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JPMorgan Chase & Co.
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United States
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Financial Services
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700 & Above Employee
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Quantitative Researcher - Summer Associate
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Jun 2021 - Aug 2021
New York City Metropolitan Area • Devised a stochastic pricing model for the deposit portfolio of the firm that on average is 20% more accurate than the existing model, and is computationally 80 times faster.
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JPMorgan Chase & Co.
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United States
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Financial Services
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700 & Above Employee
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Quantitative Analyst - Summer Associate
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Jul 2020 - Aug 2020
New York City Metropolitan Area • Given excess capital from the firm’s operations, studied dynamic optimal strategies to increase shareholder value based on market environment variables.
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HP
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Research and Development Engineer (Systems Integration)
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Sep 2016 - Aug 2018
Large Format and 3D Printing Center- Sant Cugat del Vallès • Solved and analyzed complex development problems at the intersection of mechanical, electrical engineering, and computer science. • Developed computer vision tools to automate the quality grading of the products developed. • Performed experiments to improve various aspects of the engineering process and designed machine learning tools to analyze/interpret the data.
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Graduate Research Assistant
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Jun 2015 - Aug 2015
School of Mechanical Engineering at Tel Aviv University • Employed VASP (Vienna Ab-Initio Simulation Package) in order to perform first-principle atomic simulations of organic perovskites, such as methylammonium lead iodide perovskite. The objective of the research project is to elucidate the effect of the organic cation in the "octahedron cages" in the perovskite, and to compare the properties of the structure if the methylammonium is changed for ethylammonium or formamidium.
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Education
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Georgia Institute of Technology
Ph.D., Machine Learning -
Cornell University
Master of Science (M.S.), Applied and Engineering Physics -
Universidad Politécnica de Madrid
Degree en Industrial Technology Engineering., Energy Engineering