Computational Finance graduates are increasingly sought after by financial and insurance institutions. A Computational Finance graduate possesses the key skills for the technological transformation of finance.
The Computational Finance master aims at achieving an ideal balance between complementary competences in economics, mathematics, statistics, computer science. A Computational Finance graduate will be able to go through the whole process starting from the identification of a financial problem, proceeding with its quantitative modelling and analysis, and arriving at the development of an operative solution.
This program prepares students for successful careers in banking institutions, insurance companies, consulting and asset management firms, market authorities and international entities.
financial problem
quantitative analysis
operative solution
prepared for a wide range of careers
Financial data and technology expert:
You will master the techniques for managing and analyzing large financial datasets, using modern statistical and computational methods. Your analysis will support decision-making processes, risk management practices and asset allocation strategies. You can find job opportunities in banks, insurance companies, consulting firms.
Financial IT expert:
You will develop skills at the interface between computer science and finance. You will contribute to the development of computational solutions for applications in finance and insurance, working together with software engineers and front-office specialists. You can find job opportunities in banks, consulting firms and software houses.
Quantitative finance specialist:
You will develop advanced skills in probability, computational mathematics and their financial applications. You will learn the techniques for pricing and hedging financial derivatives and contribute to the development of effective risk-management strategies. You can find job opportunities in banks, insurance companies, consulting firms, investment funds.
Risk-management specialist:
You will master the mathematical and statistical methods for measuring and managing financial risks. You will learn how to analyze the risk of complex financial products and portfolio of assets. In your institutions, you will provide timely report on the riskiness of financial positions and contribute to the validation of financial models. You can find job opportunities in banks, insurance companies, consulting firms.
Wealth management specialist:
You will master the financial concepts and the mathematical tools that allow for an efficient allocation of wealth, building investment strategies that consider the investor’s risk preferences and investment time horizon. You will contribute to create portfolios, including insurance contracts. You can find job opportunities in banks, insurance firms, consulting firms, investment funds.
The direction of the Computational Finance master is supported by an Advisory Board with leading professionals in finance and insurance. The Advisory Board ensures that the master program remains constantly tuned to the market evolution. The institutions represented in the Adivsory Board include Banca Ifis, Fidelity Investments, Generali, Goldman Sachs, Intesa Sanpaolo, Prometeia, Simgest.
This Master program offers a comprehensive treatment of the foundations of modern computational finance, a prominent field being transformed by the availability of increasingly large data sets and fast-growing machine-learning techniques for cutting-edge industry applications. As an alumnus of Università degli Studi di Padova, I'm proud that such a program is being offered to students. I wish I had the opportunity to attend it when I was a student myself! The strong and solid theoretical background as well as the analytical mindset I developed during my studies at this prominent Italian university, helped me massively address the several technical challenges of my industry and academic careers.
Alumnus Master in Mathematics, University of Padova (actual Global Head of Quant Analytics, Bloomberg LP)
Modern financial markets are a fascinating and intricate system generating a treasure trove of data. Successfully navigating this dynamic landscape demands an interdisciplinary skillset encompassing the realms of finance, mathematics, statistics, coding, and numerical methods. The Master in Computational Finance at the University of Padova presents an extraordinary opportunity for individuals seeking to embark on a fulfilling career in quantitative finance. This comprehensive program provides participants with solid foundations, and offers a broad selection of elective courses on cutting-edge methods, like machine learning and AI, which are revolutionizing the field. As a mathematics student at Padova University, I was fortunate to immerse myself in an environment brimming with enthusiasm, fostered by a vibrant community of fellow students and dedicated professors. I am grateful for their invaluable guidance and mentorship: they shaped my way of thinking, and equipped me with conceptual tools that I employ in my day-to-day work.
Luca Philippe Mertens - Quantitative Researcher - Systematic Fixed Income Strategies @ Fidelity Investments
Through this master program, you will have the opportunity to build a solid foundation in finance and computing, making you versatile and resilient to the challenges that the world of work will bring. It combines disciplines that are becoming increasingly interconnected: starting with the fundamentals of computer systems, moving through machine learning to quantitative finance. When I went to the university, there was not yet something so comprehensive from a computational finance perspective, and I needed to fill in some gaps on my own in order to get where I am today. Considering then not only the technical skills, but also the 360-degree skills that a path like the one at the University of Padua conveys, this is absolutely a program not to be missed! Alumnus's word!
Agnese Niccolò - Member of Alumni Università degli Studi di Padova - BSc in Mathematics and MSc in Mathematical Engineering with Financial Curriculum - actual Artificial Intelligence Team Manager @ Generali Italia
This program touches on all the fundamental aspects of working in modern finance with a quantitative profile. From computational mathematics to machine learning, from risk management to law and data, this is the ideal path to delve into key topics that are often not covered but are extremely relevant in the industry. If you like numbers and want to work in the world of finance, this program is for you!
Alumnus Master in Statistical Sciences Applied to Finance (actual Head of Computer Vision at Enel )
