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Intern Data Scientist: Nowcasting Inflation in Middle East Countries

Stage(6 mois)
Salaire : Non spécifié
Télétravail fréquent

QuantCube Technology
QuantCube Technology

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Le poste

Descriptif du poste

QuantCube Technology’s Inflation product consists in providing real-time indicators of inflation to different economic actors, whether it be private investors like hedge funds or banks or public institutions. These indexes are even more important as inflation is one of the key macroeconomic variables to monitor since it impacts interest rates, economic growth but also social stability. The Macro Team is therefore looking for an intern with econometric and machine learning skills with a strong interest in economics. 

Missions : 

The assignments you will be working on include: 

  • Understand the country economy you will be working on Middle East Countries including Saudi-Arabia, UAE or Egypt by performing variance analysis and analyzing  

  • Take part in the alternative data collection 

  • Using and improving QuantCube inflation pipelines with state-of-the-art algorithms 

  • Take part in the production adaptation of the codes 


You will have the opportunity during these assignments to quickly gain responsibility: to lead a project from A to Z from pre-processing to modelling ; benefiting from weekly updates on the global economy ; to communicate directly with our IT and Data Science teams who are at the forefront of their field ; present your work to the whole team at the end of the internship. 
We are a close-knit, friendly and multicultural team. We are looking for motivated people to join the adventure and participate in the development of QuantCube.

Profil recherché

  • Good level in python 

  • Good level in mathematics 

  • Strong Interest in Economics 

  • Mastery of time series models, advanced machine learning and econometric models 

  • Fluent in English and in Arabic, Good knowledge of GCC countries would be strongly appreciated

Déroulement des entretiens

  1. Meet the Recruiter and Lead Data Scientist (30 min)

  2. Technical interview (1h30)

  3. Meet the co-founders (30 min)

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