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Quant @QRT | Ex-Datadog | MVA | ENSAE
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data scientist / Quantitative Analyst with a strong background in statistics and coding.
ENS Paris-Saclay
M2 Mathématiques, Vision, Apprentissage (MVA), Artificial Intelligence
January 1, 2016 – January 1, 2017
Lancaster University
Master of Science (MSc), Data Science
January 1, 2015 – January 1, 2016
ENSAE Paris
MSc. in Mathematics, Statistics, Economics and Finance, Statistics
January 1, 2013 – January 1, 2016
Qube Research & Technologies
Quantitative Researcher
October 1, 2024 – Present
Paris, Île-de-France, France
Datadog
Senior Data Scientist
July 1, 2024 – October 1, 2024
Paris, Île-de-France, France
Datadog
Data Scientist
June 1, 2021 – July 1, 2024
Paris, Île-de-France, France
Adikteev
Data Scientist
January 1, 2018 – September 1, 2020
Paris, Île-de-France, France
Dassault Systèmes
Research Intern in Deep Learning
April 1, 2017 – October 1, 2017
Vélizy-Villacoublay, Île-de-France, France
Spacelabs Healthcare
Research Intern
June 1, 2016 – September 1, 2016
City Of Edinburgh, Scotland, United Kingdom
Natixis
Data Scientist Junior
June 1, 2015 – September 1, 2015
Charenton
Essilor
IT Intern
June 1, 2014 – August 1, 2014
Créteil, Île-de-France, France
Cultural Fit Analysis
The candidate's diverse experience across different companies (Qube Research & Technologies, Datadog, Adikteev, Dassault Systèmes, Spacelabs Healthcare, Natixis, Essilor) and roles (Quantitative Researcher, Senior Data Scientist, Data Scientist, Research Intern) suggests adaptability and a broad interest in various applications of data science. The academic background from multiple prestigious institutions also indicates a strong intellectual curiosity. The transition to a Data Analyst role from a Data Scientist/Quantitative Researcher background might indicate a desire for a more focused analytical role, which could be a good fit if the target company values deep analytical rigor. However, without specific project details or team interactions, it's difficult to fully assess cultural alignment beyond a general fit for a data-driven environment.
Soft Skills & Operational Fit
The candidate's resume indicates a strong analytical and research-oriented mindset, crucial for a Data Analyst role. The progression from Data Scientist to Senior Data Scientist and then Quantitative Researcher suggests a drive for continuous learning and taking on more complex challenges. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed in the provided experience descriptions.