• ECTS

    120 credits

  • Duration

    2 years

  • Training structure

    Faculty of Economics

  • Language(s) of instruction

    French

Presentation

This program trains banking finance professionals and researchers in this field.

He offers modern programming practices combined with statistical methods applied to large financial databases, with the ultimate goal of managing banking risks.

This course constantly takes into account developments in the banking sector, particularly changes in the field of banking risk analysis. In recent years, banking professions have undergone profound changes. These changes in banking professions and the globalization of operations have given rise to new risks. International operations now account for a growing share of credit institutions' on-balance-sheet and off-balance-sheet activities, while market interventions are becoming more diverse and complex. These developments have given rise to new types of risk and altered the factors of financial fragility that can affect the quality of the situation of banking players. As a corollary, banking supervisory authorities have imposed prudential rules to prevent banks from failing. These rules are part of preventive action programs aimed at promoting the stability of domestic banking systems.

This new training program enables participants to integrate the regulatory constraints of Basel III into the measurement of banking risks such as liquidity risk, asset and liability management (ALM), etc.

 The aim is to equip students with three types of skills: expertise in quantitative methods (econometrics, analysis of large databases, etc.), risk analysis (particularly banking risk) and banking regulation, and proficiency in IT tools (SAS, R, VBA, Python, etc.). The quantitative courses in this master's program are held in the MUSE Trading Room.

 These skills provide students with powerful tools for measuring the risks faced by financial institutions, enabling them to join risk control departments.

Strong ties have been established over many years with regional and national professionals, such as the Regional Director of the Ecole Supérieure and the Regional Delegate of the French Banking Federation. Many professionals contribute to the Master's 2 program, either through lectures or through the EU's professionalization conferences. These professionals share their professional experiences and explain the careers that are open to students upon completion of the Master's program. Internships are often obtained as a result of these presentations.

Conferences on Big Data, Artificial Intelligence (Python programming), etc. are organized by Data Scientist specialists.

Students thus benefit from excellent professional training based on solid theoretical knowledge and professional application by recognized experts in the field through supervised projects or professional conferences . This enables the vast majority of graduates to find employment within six months of completing their Master's degree. The employment rate is over 77%. 

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The advantages of the training program

This specialized program in Banking Risk Analysis is one of the few in the Occitanie region to offer this type of training as part of an initial education program. It therefore provides students in our region with the opportunity to pursue a career in risk analysis. This program develops students' quantitative skills (econometrics, numerical methods, etc.) and computer programming skills (artificial intelligence algorithms, etc.), enabling them to stand out nationally from students in other banking master's programs.

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Objectives

The objective of this program is to equip students with three types of skills: expertise in quantitative methods (econometrics, analysis of large databases, etc.), risk analysis (particularly banking risk and banking regulations), and proficiency in IT tools (SAS, R, VBA, Python, etc.).

- Provide students with the skills necessary to work as risk analysts (analyzing different types of risk: credit risk analyst, operational risk analyst, compliance risk analyst, liquidity risk analyst, asset and liability management (ALM), risk manager within banking institutions, etc.).  ) to be able to propose personalized solutions in the field of risk management (assessment of complex product risks, construction of structured products or complex portfolios, etc.).

- Provide students with the skills necessary to conduct research within public organizations and to understand regulations and financial and banking operations, to detect, assess, and model risks, and to evaluate financial and banking products.

- Master financial modeling tools and banking econometrics, which will enable you to apply for positions as a financial risk analyst and in back-office functions.

-Acquire technical training based on handling large financial databases at multiple frequencies, combined with the most powerful computer software

-Acquire sufficient knowledge to apply for doctoral contracts and/or enroll in a doctoral program.

- Possess computer skills and know how to model and use computer tools, software, or software packages commonly used in the markets (SAS, VBA, etc.).

- Master financial modeling tools and banking econometrics, which will enable you to apply for jobs as a market operator, portfolio manager, financial risk analyst, or in back-office functions.

- The ARB training program implementstools to help students succeed. The program benefits from the involvement of a professional who helps students prepare for their internship and job search. The following actions are implemented: CV and cover letter writing, preparation for the internship search and job interviews. Job search support workshops (CV, cover letter, etc.) and job interview preparation sessions (recruitment process, types of interviews, etc.). In addition, mock interviews with a recruiter (professional) and a master's degree teacher are scheduled.

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Organization

Special facilities

Study and exam accommodations are available for students with recognized disabilities and/or high-level athletes.

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Program

See Assessment methods

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  • Choose one of two options:

    • English for Finance 1

      2 credits
    • Spanish 1

  • Theoretical econometrics

    5 credits
  • Market finance

    4 credits
  • Monetary and financial macroeconomics

    3 credits
  • Forecasting methods

    5 credits
  • Algorithms and Programming

    3 credits
  • Data mining and big data

  • Data warehouse

  • Economics of Bancassurance

    3 credits
  • Optional

    • UM Student Engagement

  • Choose one of two options:

    • English for Finance 2

      2 credits
    • Spanish 2

      2 credits
  • Introduction to Stochastic Calculus

    4 credits
  • Corporate finance

    4 credits
  • Introduction to SAS

    2 credits
  • Banking techniques

    3 credits
  • Time series econometrics

    5 credits
  • Technical analysis

    2 credits
  • Applied econometrics project

    5 credits
  • Financial Mathematics in Excel VBA

    3 credits
  • Professional development conferences

  • Financial markets and financial theory

    2 credits
  • Numerical methods in banking "VBA"

    2 credits
  • Trading algorithm

    1 credit
  • Portfolio management under R

    1 credit
  • Financial analysis (Bank of France)

    1 credit
  • Primary stock market: initial public offering

    0.5 credits
  • Stochastic calculus

    2 credits
  • Operational and compliance risks

    2 credits
  • Financial English

    1 credit
  • Introduction to Artificial Intelligence in Python

  • Exploratory statistics (SAS)

    1 credit
  • Computer techniques (VBA)

    1 credit
  • Financial big data

    1 credit
  • Credit risk

    2 credits
  • Cybersecurity and cryptography

    1 credit
  • Econometrics applied to finance

    2 credits
  • Financial market econometrics

    2 credits
  • Asset-liability management (ALM)

    2 credits
  • Interest rate risks

    2 credits
  • FinTechs, Blockchain, and Cryptocurrencies

    1 credit
  • Numerical methods in actuarial science "VBA"

    2 credits
  • Programming in R

  • Banking and insurance regulations

    1 credit
  • Introductory seminars on research

Admission

Admission requirements

APPLICATIONS:

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Registration procedures

Enrollment takes place during the enrollment period after a favorable decision on an application for the Master's program.

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Capacity

40 students in their first year of a Master's degree

30 students in their second year of a Master's degree

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And after

Professional integration

This master's degree has a dual purpose:

- professional purpose and leads to employment.

- Research objective: Pursuit of doctoral studies is possible, subject to the quality of the applied research thesis.

This training program is designed to train high-level executives pursuing careers in banking.

The Banking Risk Analysis program offers comprehensive training that provides access to the following careers: (this list is based on the careers pursued by alumni of the master's program)

 Compliance Analyst, Banking Risk Analyst, Operational Risk Analyst, Internal Risk Controller, Portfolio Manager, Independent Forex and Cryptocurrency Trader, Investment Compliance Officer, Structured Finance Manager, Wealth Advisor, Financial Risk Analyst, Credit Risk Analyst, Compliance Officer, Credit Manager, Brokerage Account Manager, Liquidity Risk Analyst, Data Project Services Manager, Data Analyst, Business Analyst, Statistical Research Manager, Permanent Controller, Customer Operations Manager, Credit Collection Manager, Corporate Credit Analyst, Wealth Manager, Data Manager, Compliance Controller, Economic and Financial Data Processing, Account Manager, IT Project Manager, Developer, Database Administration and Management, Permanent Controller, Assistant Broker, Assistant Quant, Sales, Assistant Trader, Middle Office Manager, Back Office Manager, Internal Auditor, Assistant Portfolio Manager, Performance Measurement and Attribution Analyst, Information Systems Design, Account Manager, Finance Consultant, Data Project Manager, Banking and Insurance Advisor, Data Scientist, Financial Advisor, Financing Manager, Derivatives Account Manager, Higher Education, CNRS Researcher, etc.

These professions are practiced within major financial institutions such as: 

Crédit Agricole, Banque de France, BNP Pariba, Natixis, Société Générale, Banque Populaire, CIC Lyonnaise de Banque, Astéo Luxembourg, Crédit Agricole Corporate and Investment Bank, European Central Bank, Ecobank, Allianz, Caisse d'Epargne, HSBC Bank, OFI Asset Management, La Banque Postale, Arkea, audit firm, accounting firm.....

Find all the important information about entering the workforce, including:

  • The rate of professional integration
  • Companies that are hiring
  • Occupations held, etc.

Professional integration Master's degree in Banking Risk Analysis

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