Fintech (Master Level, Mathematical Engineering)
AIM of the Course:
The aim of the course is to make students familiar with the new frontiers of Fintech. Financial technology (Fintech) is the introduction of new technologies and innovations in the traditional financial methods and services. Within the financial services industry, some of the used technologies include artificial intelligence (AI), big data, and blockchain. The aim of the course is to show use cases were these techniques are applied to specific financial problems, overcoming traditional methods.
The course is divided in two parts: 50% on blockchain and big data, and (50%) on machine learning applications on financial problems.
SUBJECTS of the Course:
Bitcoin and Blockchain Technologies
How to use data to prevent financial problems: lapse risk in the insurance sector.
How to use data to obtain credit rate for small and medium enterprise.
Machine Learning
How to face problems in capital markets and the energy sector via a Machine Learning approach.
EXAMINATION PROCEDURE:
a) projects on the fintech topics;
b) projects presentation and oral exam.
The objective of projects is to let students work in groups, applying the approaches and principles taught in class. Projects will be assigned through the semester. Project artifacts are expected to be released at fixed deadlines that will be defined by the time the project will be assigned. The evaluation of projects will be based on the produced artifacts (documentation, code, …).
The oral exam is mandatory.
The exam has the goal of checking whether the student has acquired the following skills:
– knowledge of advanced concepts of stochastic calculus, which are essential in quantitative finance;
– knowledge of how to choose modeling assumptions to solve a financial problem properly;
– ability to write a code/algorithm to solve a financial problem, exploiting the developed theoretical knowledgements;
– ability to find proper modeling assumption to describe a financial asset (like interest rate, volatility, commodities, etc.);
– ability to express mathematical and financial concepts in a clear and rigorous way.
LANGUAGE: ENGLISH.