Alex Bietrix's work experience begins in 2017, where they worked as a General Manager Assistant at ILO TECHNOLOGY, focusing on the design and manufacture of radiant heating systems. Alex also completed an internship in Changzhou, China, to establish a joint venture with CETT.
In 2017, they joined Kayrros as an Oil Analyst, specifically focusing on oil storage in China, the USA, and Western Europe. At Kayrros, they tracked the journey of energy from production to consumption to provide market insights and financial knowledge to customers.
In 2018, Alex worked briefly in Wealth Management at AWAP, Cercle de Gérants de Fortune Indépendants.
Next, they joined Total in 2019 as a Shipping Market Analyst, working in the Trading&Shipping division. Alex developed various models and analyses using Python, Eviews, and VBA to price oil tankers, analyze the oil products market, and assess risk related to time-chart contracts.
Moving to Priogen Energy in 2020, Alex worked as a US Power Trader/Analyst.
In 2021, they took on the role of a Freight Market Analyst at BRS Group before joining DV Trading LLC as a Natural Gas Trader.
Alex Bietrix's education history is as follows:
From 2020 to 2021, Alex attended the University of California, Berkeley, where they obtained a Master of Financial Engineering degree in Financial Mathematics.
In 2019, Alex participated in the QTEM Exchange Program in St-Petersburg, Russia, at the Higher School of Economics.
Alex completed a Magistère degree in Banking-Finance-Insurance at Université Paris Dauphine - PSL from 2017 to 2020.
From 2017 to 2018, Alex also obtained a BSc degree in Applied Economics from Université Paris Dauphine - PSL.
Alex's undergraduate studies were in Mathematics at Université Paris Dauphine - PSL from 2015 to 2017.
In terms of additional certifications, Alex has completed various courses and exams. These include R Programming from The Johns Hopkins University in July 2019, GMAT with a score of 690/800 from Pearson in May 2019, TOEFL with a score of 107/120 from The TOEFL test in January 2019, Machine Learning from Stanford University in September 2018, Initiation à la programmation (en C++) from Ecole polytechnique fédérale de Lausanne in July 2018, Bloomberg Market Concepts from Bloomberg LP in September 2017, and Introduction to Data Science in Python (institution and date of completion not provided).
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