Research

What do we do?

The Research Area develops quantitative, economic, financial, and methodological projects with a technical and academic approach. We produce structured articles, models, computational analyses, and reproducible code, working in small teams with verifiable sources, review cycles, deadlines, and a strong focus on quality and project continuity.

THE TEAM

Salvatore Gabriele Messina
Salvatore Gabriele
Messina
Alessandro Coco
Alessandro
Coco
Andrea Rostagno
Andrea
Rostagno
Davide D'Amico
Davide
D'Amico
Davide Sisto
Davide
Sisto
Francesco Florio
Francesco
Florio
Matteo Armando
Matteo
Armando
Valentina Romeo
Valentina
Romeo
Jacopo Foralosso
Jacopo
Foralosso

Would you like to join the Research area?

Expected commitment:
An average commitment of 5 hours per week, carried out entirely online and asynchronously, rising to 5–7 hours during the most intensive phases. Work stops during exam sessions, with an expected commitment of 0 hours.

Required/preferred skills:

• All STEM and quantitative profiles are welcome, with diverse and complementary backgrounds being highly valued. The three main areas of expertise are mathematics and statistics, computer science and data analysis, and economics and quantitative finance.

• The ideal candidate does not need to be an expert in all three areas: we are looking for people with in-depth expertise in at least one of them, solid skills in at least a second area, and the willingness to learn how to collaborate effectively with profiles from the third.

• Technical English: ability to read papers, books, and technical documentation, and to contribute to writing content in English.

More specifically, the skills required in the three areas are:

• Mathematics and statistics: modelling, probability, statistics, optimization, operations research, and quantitative methods.

• Computer science and data analysis: programming, data analysis, simulations, code management, development of computational models, and the ability to design solutions by selecting appropriate algorithms and data structures.

• Economics and finance: quantitative finance, econometrics, macroeconomics, time-series analysis, and the ability to interpret models and results from an economic and financial perspective.

Join the Research team!

Any other questions?

Contact the Team Head👉