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Arnaud DubessayAD

Arnaud Dubessay

dev backend and Data Ingeneer(Telecom Paris/ENSAE)

€550/day
Paris, FR
3-7 years

Average response time: 1 hour

About Arnaud

English below
-> Expérience: 5 ans Data scientist/data ingeneer/analyste quantitatif chez BNP Paribas CIB (trading): script python/R/golang pour gestion de systèmes de données, production journalière d'indicateurs statistiques.
-> Diplome: double diplome Telecom Paris et ENSAE (M2 finance et statistiques).
-> Compétences: Dev full stack python/R, data ingeneering, analyste quantitative en finance de marché (et autres domaine).

-> Skills: Dev full stack python/R, data ingeneering, quantitativ analyst (trading and other fields).
-> experiences: 5 years Data scientist/data ingeneer/quantitativ analyst at BNP Paribas CIB (trading): python/R/golang script for data system, daily production of statistical and data indicators.
-> Education: Telecom Paris degree and ENSAE degree (M2 finance et statistiques).

  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • BNP Paribas CIB GM
    Data Ingeneer, quantitative analyst, dev python
    BANKING AND INSURANCE
    December 2018 - January 2023 (4 years and 1 month)
    Paris, France
    -> dev of Python scripts for daily production of trading market indicators.
    -> computing performance oriented, multiprocessing and multithreading.
    -> Dev (Golang and SQL) in internal database system.

    Python (Programming Language) Golang Statistics Statistiques Multithreading
  • BNP Paribas Asset Management
    Quantitative analyst, Data ingeneer
    BANKING AND INSURANCE
    June 2018 - November 2018 (6 months)
    Paris, France
    -> R and python scripts for daily production of tactical allocation tools and financial indicators for BNPP asset managers.
    -> mathematical studies of optimal allocations (augmented Markowitz potofolios)
    RStudio Python (Programming Language)

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Education

  • diplôme d'ingénieur
    Telecom Paris
    2018
    -> programmation théorique et pratique Python, C, C++, R -> mathématiques: calcul stochastique et appliqué à la finance de marché -> Data science
  • M2 statistiques et Finances
    ENSAE
    2018
    -> Data science -> mathématiques appliqués à la finance de marché -> projets d'application de la data science à la finance (volatilité et accords de crédits)

Skill set (19)

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