MAIN CAREER FIELD: Quantitative Analysis / Data Science / Financial Analytics

Other Career Fields: Machine Learning, Artificial Intelligence, Risk Analytics, Natural Language Processing, Software Development

Experience in years: 3+ years (Quantitative Research, Data Science, and Financial Modelling)

Diploma: MSc in Data Science and ICT – University of Padua (with Honours)
BSc in Physics – University of Milan (with Honours)

Visa: Italian citizen (EU passport – eligible to work in EU; visa sponsorship may be required outside EU)

Languages: Italian (native), English (fluent)

Nationality: Italian

Expected Salary: Negotiable – depending on location and position

Summary Profile: Quantitative Analyst with a strong background in Physics and Data Science, experienced in designing and implementing systematic trading strategies, financial data models, and AI-driven analytics. Skilled in Python, C++, and modern machine learning frameworks (PyTorch, TensorFlow, scikit-learn). Demonstrated ability to build robust backtesting systems, optimize risk management workflows, and develop predictive models for financial markets. Passionate about applying quantitative methods and data-driven insights to support economic analysis, policy evaluation, and innovation projects in international environments. Open to expand my career to more client-facing roles.