QuantCube Technology’s products consists in providing real-time economic indicators to different economic actors, whether it be private investors like hedge funds or banks or public institutions. Starting from those alternative data it I possible to build investment use cases such as Directional or Arbitrage strategies based on financial futures (Bonds, Equity or Currencies) with a strong focus on growth and inflation factors. The Investment Use Cases Team is therefore looking for an intern with econometric and machine learning skills with a strong interest in statistics, time series analysis, and finance.

Missions:

The assignments you will be working on include:

• Understanding the Alternative data set, their main economic drivers and their connections to growth and inflation, (factor and clustering analysis)
• Build arbitrage / relative value strategies and investment cases designs based upon alternative data and statistical learning models
• Using and improving QuantCube pipelines with state-of-the-art algorithms
• Taking part in the production adaptation of the codes

Benefits:

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 work with experienced investment quants, 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.

• Strong level in python
• Strong level in econometrics, time series analysis and signal extraction methods
• Knoledge in Economics and basic Finance
• Fluent in English

QuantCube recruits and recognises all talents

1. Meet the recruiter and Lead Quant Analyst (30 min)
2. Technical Interview (1h)
3. Meet the co-funders (30 min)