Job ID
R26610
Country
Italy
Job City
Rome - via Tomacelli
Job Family
Intern and Apprentice
Job Type
Employee
Job Sub Type
Intern (Fixed Term) (Trainee)

Help develop an AI-driven alert system that integrates curated news, sanctions data, and traditional financial indicators
to generate sentiment signals for risk management in central clearing.
• Work on a real-world application combining machine learning and natural language processing to anticipate
geopolitical and market shocks, supporting proactive margin and stress overlay decisions.
Competences: knowledge of Artificial Neural Networks (Multi Layer Perceptron, Recurrent Neural Networks, LSTM) and their
training (Backpropagation algorithm); Attention mechanism and Transformers based models (e.g. BERT, FinBERT); Time
series analysis); python programming (useful libraries: pandas, numpy, pytorch/tensorflow)