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Thomas QuarckTQ

Thomas Quarck

Quantitative Analyst

€300/day
Montpellier, FR
0-2 years

Average response time: 1 hour

About Thomas

Diplômé en Probabilités et Modèles Aléatoires, je propose mes services aux organisations qui ont besoin de modéliser l'incertitude, d'analyser des données complexes ou de développer des outils quantitatifs robustes.
Mes interventions couvrent notamment : la modélisation probabiliste et stochastique, l'analyse statistique de données, la simulation (Monte Carlo, chaînes de Markov...), et le développement d'algorithmes sur mesure (Python / R).
Bien que récent dans le monde du freelancing, j'apporte une formation mathématique solide et une rigueur scientifique sur chaque mission. Je suis particulièrement adapté aux contextes où la modélisation de l'aléatoire est au cœur du problème : finance, assurance, data science, recherche appliquée.
Disponible rapidement, contactez-moi pour échanger sur votre besoin.
  • French

    Native or bilingual

  • English

    Fluent

  • German

    Conversational

Remote only
Primarily works remotely

Experience

  • Institut de Mathématiques d'Orsay / CNES,
    Quantitative Research Intern
    April 2025 - September 2025 (5 months)
    3630 Park St, Jacksonville, FL 32205, USA
    - Algorithmic Optimization: Implemented the Hungarian Algorithm (Python) to solve assignment problems on synthetic satellite imagery.
    - Stochastic Modeling: Developed a 1D Poisson Point Process model to identify the critical noise threshold guaranteeing signal recovery.
    - Performance Analysis: Benchmarked against standard libraries (scipy) and conducted stress-tests on large datasets.
  • EDF LAB (R&D),
    Stochastic Modeling & Reliability Intern
    June 2023 - September 2023 (3 months)
    91120 Palaiseau, France
    - Mathematical Modeling: Modeled critical systems using Markov Processes to compute Mean Hitting Times to failure.
    - High-Performance Computing: Solved large-scale linear systems (215 states) by Matrix algorithms to memory usage.
    - Impact: reduced computational load, high-dimensional simulations standard hardware.

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Education

  • M.Sc. in Probability and Stochastic Models
    SorbonneUniversité,Paris
    2025
    M.Sc. in Probability and Stochastic Models
  • B.Sc.
    UniversitédeFranche-Comté,Besançon
    2022
    B.Sc.

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