Economics - Management

Banking Risk Analysis

  • ECTS

    120 credits

  • Duration

    2 years

  • Training structure

    Faculty of Economics

  • Language(s) of instruction

    French

Presentation

The Banking Risk Analysis track of the MBFA Master's program trains professionals and researchers specializing in banking and financial risk analysis and data science. It combines modern programming, statistical methods, and analysis of large financial databases to address the new challenges facing the sector.

The program takes into account developments in the banking and finance sector, the complexity of international operations, and new prudential regulatory requirements such as Basel III, particularly with regard to liquidity risk and asset-liability management (ALM), as well as proficiency in artificial intelligence tools. Quantitative courses are held in the Trading Room.

The program is highly professionalizing thanks to partnerships with banking institutions, guest lectures by professionals, conferences on Big Data and AI, and applied projects, promoting access to internships andemployment. The majority of graduates find employment within six months, with an employment rate of over 80%.

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The advantages of the training program

  • RARE SPECIALIZATION IN THE OCCITANIE REGION
  • ADVANCED QUANTITATIVE SKILLS
  • MANAGEMENT OF VARIOUS FINANCIAL RISKS

 

 

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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.), analysis of banking and financial risks and banking regulations, and mastery of IT tools (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-liability management (ALM), risk manager within banking and financial 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 jobs as a market operator, portfolio manager, financial risk analyst, or in back-office functions.

- Mastering artificial intelligence tools that enable you to apply for jobs as a data analyst or data scientist. 

-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.).

- The ARB training program implementstools to help students succeed. The program benefits from the involvement of professionals who help students prepare for their internship and job searches. The following actions are implemented: CV and cover letter writing, preparation for internship searches 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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Know-how and skills

Know-how

  • Analyze and model banking and financial risks

  • Exploiting and processing large financial databases

  • Developing and evaluating complex financial products

  • Use financial and econometric modeling tools

  • Use computer tools to aid decision-making (SAS, R, Python, VBA)

  • Use financial analysis tools

 

Skills

  • Proficiency in quantitative methods and banking econometrics

  • Expertise in financial risk management and analysis

  • Knowledge of banking operations and regulations

  • Proficiency in computer and statistical tools applied to finance

  • Ability to analyze, synthesize, and conduct applied research

  • Mastery of financial analysis
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International dimension

Starting in their second year, students can spend a year (two semesters) at one of the 60 universities with which the Faculty of Economics has partnerships through the ERASMUS+ exchange programs, inter-university agreements, and CHARM-EU.

https://economie.edu.umontpellier.fr/international/

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Organization

Knowledge assessment

The Master's programs at the Faculty of Economics are structured over two years and four semesters, based on an assessment system designed to measure students' learning progressively and comprehensively. At the end of each semester, the skills, competencies, and knowledge acquired in each Teaching Unit (UE) are assessed in one of two ways: continuous assessment or a final exam.

Continuous assessment allows for regular monitoring of student progress through several forms of evaluation: supervised assignments, graded tutorials, presentations, projects, document analysis, and active participation in class. This method encourages attendance, regular work, and the gradual acquisition of skills.

The final exam consists of a written or oral test held at the end of the semester. It aims to assess the student's overall mastery of the concepts taught and their ability to apply their knowledge in a structured and in-depth manner.

 

 

 

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Special facilities

Students with disabilities, young entrepreneurs, and high-level athletes can benefit from personalized support.

This may take the form of study arrangements, educational adaptations, or specific rights, in order to enable them to best balance their personal or professional constraints with their university education. Depending on the situation, these measures may include an adapted schedule, adjusted assessment methods, attendance facilities, individualized monitoring, or dedicated support services.

https://economie.edu.umontpellier.fr/scolarite/

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Program

The program lasts two years, or four semesters.

120 ECTS

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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

    • 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 / Excel VBA

    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

    0.5 credits

  • 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

  • OPTION 1

    30 credits

    • Choose 1 or 2 from 2

      • Research thesis as part of a research program

        30 credits

      • 3- to 6-month internship

        30 credits

Admission

Admission requirements

  • For Master 1: Holder of or currently pursuinga bachelor's degree (or equivalent, bac+3) in economics, a MIASHS bachelor's degree or similar, recognized in France or Europe.
  • For the Master 2: Have completed at least 4 years of higher education (Bac +4 / 240 ECTS) in fields related to economics or similar. A strong academic record and, in some cases, professional experience are valued.

economie.edu.umontpellier.fr/applications/

 

 

 

 

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Registration procedures

First year of master's degree

If you wish to apply for admission to Master 1, you must submit your application on the Mon Master platform .

Second year of master's degree

To gain equivalent access to the second year of the master's program, the ecandidat procedure is mandatory.

Further information: economie.edu.umontpellier.fr/candidatures/candidatures-et-admissions/

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Target audience

Students from the Montpellier Academy, the Occitanie region, France, and internationally

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Tuition fees

Tuition fees are set each year by the Ministry of Higher Education. They are accompanied by the Student and Campus Life Contribution (CVEC).

The entire program is free for students receiving scholarships.

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Capacity

40 

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Recommended prerequisites

A good level ofcomputer skills, mathematics, statistics, econometrics, financial analysis, and probability is essential. 

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And after

Continuing education

Master's degree graduates can continue their studies, particularlyin economics, in France or abroad, especially those who are interested in research or higher education. Additional specialized training (university degrees) may also be considered depending on career plans.

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Professional integration

Purpose of the master's degree

  • Professional goal: direct entry into the job market

  • Research objective: possibility of pursuing a doctoral degree depending on the quality of the applied research thesis

 

Audience and objective

  • Training of high-level executives destined for careers in the banking and financial sector

 

Career opportunities (main)

  • Risk analysis and management (credit, operational, liquidity, compliance)

  • Compliance, internal control, and audit

  • Portfolio management and structured finance

  • Data, statistics, and information systems (Data Analyst, Data Scientist, Business Analyst)

  • Market roles (trading, middle/back office, quantitative analyst assistant)

  • Financial, wealth management, and banking and insurance advice

  • Research and higher education

  • Wealth manager
  • Financial Analyst

 

Institutions and employment sectors

  • Commercial and investment banks

  • Central banks and public institutions

  • Asset management companies and insurance companies

  • Audit, consulting, and accounting firms

  • Major financial institutions

  • Private or public companies

https://osipe.edu.umontpellier.fr/masters/ 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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