PhD student in Tax economics (thèse CIFRE) - (H/F)

Résumé du poste
CDI
Levallois-Perret
Salaire : Non spécifié
Début : 01 septembre 2024
Télétravail fréquent
Expérience : < 6 mois
Éducation : > Bac +5 / Doctorat
Compétences & expertises
Souci du détail
Collaboration et travail d'équipe
Rédaction académique
Python

Algonomia
Algonomia

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Le poste

Descriptif du poste

We are seeking a dedicated and highly motivated Economic Researcher (Doctoral Candidate) to join our dynamic team. As an Economic Researcher, you will play a crucial role in conducting in-depth economic research, analyzing financial data, and developing actionable insights to support our clients.

Key Responsibilities :

  • Research and Development: Dive into existing algorithms, discerning their intricacies and potential enhancements.

  • Algorithm Improvement: Ideate and implement advancements with an emphasis on efficiency, transparency, and scalability.

  • Open Source Documentation: Detail your findings, aligning with our dedication to the open-source community.

  • Collaboration: Immerse yourself in our team, fostering multidisciplinary collaboration.

  • Academic Publishing: Craft top-notch academic articles, targeting reputable journals.

  • Continuous Learning: Stay updated with innovations in algorithm research, taxtech, and global financial norms.


Profil recherché

  • Currently enrolled in a doctoral program in Economics or a related field.

  • Strong quantitative and analytical skills with experience in data analysis and modeling.

  • Knowledge of tax principles, corporate finance, and accounting is a plus.

  • Proficiency in statistical software, data visualization tools, and programming languages (e.g., Python, R) is advantageous.

  • Excellent written and verbal communication skills in English and French.

  • Ability to work collaboratively in a fast-paced, innovative, and multidisciplinary environment.

  • Strong attention to detail and commitment to producing high-quality research.


Déroulement des entretiens

  1. HR Phone Call

  2. Interview with the CEO

  3. Case Study and presentation

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