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Corso di Laurea Magistrale in Finance and Risk Management

Presentation

  • Introduction

The MSc in Finance and Risk Management (CLM FiRM) offers its prospective students an advanced education in finance, quantitative risk management, actuarial sciences, banking and financial accounting.

The course is a combination of economic theory for finance with quantitative methods (probability theory, statistics, numerical analysis and computational methods) to quantify and manage risk arising from financial, economic and insurance applications.

The MSc mix theory and practice, academic lectures and interaction with finance and insurance practitioners and empirical sessions.

In the first year, with the common track, you will acquire an in-depth grounding with core courses from corporate finance,  financial markets and institutions, financial accounting, quantitative and computational finance, quantitative risk management, financial and computational economics and econometrics of financial markets. You will get relevant coding skills (MATLAB, Python) since the first year.

In the second year, you can deepen your knowledge and  tailor the degree to your goals both by taking one of the three offered tracks – corporate finance and banking, insurance and risk management, quantitative and AI methods for finance - and by moving forward one of the four Double Degrees opportunities.  

With the DD Msc Finance and Accounting with School of Economics in Varsaw you will deepen your knowledge in corporate finance and financial accountability, while the DD in  Quantitative Asset and Risk Management at the University of Economics in Katowice will provide you an in-depth knowledge of asset management and risk management. A perfect choice to build an international path in Economics and Finance, is the DD in Economics with the specialization International Financial Economics at the University of Konstanz, with this new excellent opportunity for your international career.

Finally, if your curiosity is for FinTech and AI, the DD in Engineering and Finance with the École Nationale Supérieure d’Informatique pour l’Industrie et l’Enterprise - Paris-Evry,  will give you the opportunity to study financial data analysis, machine learning, block chain and computing languages.

Video presentation (youtube)

 

  • Common Track

COMPUTATIONAL FINANCE

CORPORATE FINANCE

QUANTITATIVE FINANCE AND DERIVATIVES

FINANCIAL INSTITUTIONS

CORPORATE GOVERNANCE

FINANCIAL STATEMENT ANALYSIS

COMPUTATIONAL ECONOMICS

EUROPEAN CAPITAL  MARKET LAW

ECONOMETRICS OF FINANCIAL MARKETS

QUANTITATIVE RISK MANAGEMENT

INTERNSHIP

 

  • Track : INSURANCE AND RISK MANAGEMENT

INSURANCE AND RISK MODELS

PENSIONS, SOLVENCY AND FINANCIAL REPORTING

Workshop: Basic Phyton

Workshop: Risk Management in collaboration with Prometeia

Workshop: Machine Learning for finance and insurance

 

  • Track :  CORPORATE FINANCE and BANKING

BANKING MANAGEMENT AND SUSTAINABLE FINANCE

MERGER AND ACQUISITION VALUATION

PRIVATE EQUITY AND DUE DILIGENCE Lab

INTERNATIONAL ACCOUNTING

Workskop: Corporate Finance in collaboration with Deloitte

Workshop: Risk Management in collaboration with Prometeia

 

 

  • Track: QUANTITATIVE FINANCE

NEW!!!!  All students have access to the ARPM® (Advanced Risk and Portfolio Management) a on-line sistem for learning modern quantitative finance by Attilio Meucci. ARPM training prepares students to get the ARPM Certificate, a trusted credential which indicates broad and deep proficiency in modern quantitative finance, across the financial industry.

The MSc Programs in partnership with ARPM, offers Portfolio Choice as one of its courses as elective, assigning 6 CFU.
 
Upon successful completion of the course, you will be able to:
- correctly map the quantitative techniques covered in the Course onto a unified theoretical framework, appreciating the interconnections, and gaining a fresh perspective on the known techniques;
- avoid the most common pitfalls in portfolio management applications;
- interact with your classmates (and with the ARPM community) using a common language and notation;
- navigate the ARPM Lab to find detailed reference material to deepen your knowledge of the topics covered by the course, and more.
 
Title: Portfolio Choice
Term: Fall 2023
Credits #: 6 CFU
Length: 12 weeks
Live session format: Live flipped classroom
Topics covered: Data Science for Finance, Financial Engineering for Investment, Quantitative Risk Management, Quantitative Portfolio Management
Reference material: advanced online learning management platform
-

PORTFOLIO CHOICE 

BOND MARKETS 

Workshop: Machine Learning for Finance and Insurance

Workshop: Risk Management in collaboration with Prometeia

Workshop: Network theory for financial market analysis

Workshop: Financial Markets and Information

 

 

 

  • Careers Profile

Student will be prepared for high profile careers across a wide range of sectors:

in financial institutions, insurance and reinsurance companies, banks, accounting firms, private equity firms, management consulting, data analytics companies, industry,  management, quantitative analysts in insurance companies and consultancy firms, as well as in academia.

Graduates should be able to work as specialists in quantitative-oriented areas of the financial services industry, such as trading, risk or asset management, or to work in specialized areas of an insurance company.

The students who complete the MSc in Finance and Risk Management are eligible to achieve professional status as an Actuary in Italy.

 

  • Merit-based grants offered by our sponsors

Several merit-based grants are offered by our sponsors, Deloitte, Prometia and EY, for FIRM students.

 

 

 

  • Job Placement

Placement for previous graduates is extremely good, including a large variety of firms, banks, and organizations in the financial industry, like:

AXPO, ACCENTURE, AVIVA, AZIMUT, ALPIQ, BANCA SELLA, BCE, BHGE, BLOOMBERG, BNP Paribas, CABEL, DELOITTE, ENEL, ERNST & YOUNG, FINDOMESTIC, HSBC, IFIS BANK, GENERALI, GOLDMAN SACHS, SDG, PROMETEIA, ILLIMITY, P&G, PwC, WIDIBA, UNICREDIT, BANCA IMI, KPMG, IFIGEST, SDG Group, MARSH, ABN AMRO, MILLIMAN, YOOX, CapGemini, MENARINI Group, Edison, Societé General Paris.

PHD Suisse Finance Institute, PHD Mathematical Finance (SNS), PHD Accounting, Management, Business (Chieti-Pescara Univ.), PHD Economics and Finance (Roma Tor Vergata Univ.), PHD Knowledge Graph Learning (Univ. Bath, UK), MASTER Financial Markets (Paris Dauphine Univ.), Master M2MO (Paris Diderot), MASTER Private Equity Investment Funds (Luxembourg), MASTER Finance (Bocconi Univ.), Master Insurance and Risk Management (Coripe)

 

  • Double Degrees

Students will have the opportunity to follow the Double Degree programs.

 
last update: 26-Mar-2023
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