Master Program in IT for Finance
Program offered in English

The Master Program in “IT for Finance” trains specialists in the areas of computational and quantitative finance, collectively known as QUANTS.

 

Master Program in IT for Finance
Program offered in English

The Master Program in “IT for Finance” trains specialists in the areas of computational and quantitative finance, collectively known as QUANTS.

 

Program Description

The Master Program in “IT for Finance” trains specialists in the areas of computational and quantitative finance, collectively known as QUANTS.

The course provides in-depth knowledge of IT infrastructure and the organization of modern financial markets, addressing the IT operations of financial market participants.

This includes an introduction to the computer systems and hardware of investment banks, mutual funds or hedge funds, brokerages dealers, but also financial exchanges and clearing corporations, and custodians, regulators, and other market entities. 

This knowledge of infrastructure and organization is the basis on which students construct software programs for financial market firms.

While other programs focus on computational finance, developing mathematical, numerical models for trading solutions only, EFREI privileges the practical construction and implementation of financial market software, from an engineering point of view:

applying programming languages and financial protocols in developing financial market software while understanding the context of applications.

Emphasizing solid numerical and mathematical methods the program includes advanced knowledge on financial market risk, econometrics and statistics, as well as the application of such models in advanced testing and simulation environments, such as Monte Carlo Simulations, stress testing or portfolio optimization problems, but also execution and order management algorithms.  

PROGRAM

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FUNDAMENTALS

Introduction to Financial Market
Pricing of Derivatives: Models and Algorithms I
Econometrics for Finance
Financial Risk
Pricing of Derivatives: Models and Algorithms II
Numerical Analysis Applied to Finance

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INFORMATION TECHNOLOGY

Application Interoperability with Web Services
C# and .NET environment
Introduction to Cyber security
Advanced Databases
Big Data Applied to Finance: Business Analytics

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INNOVATIVE PROJECTS IN M1

Methodology and technical monitoring
Business Plan
Coaching: Support for teams
Competition with a jury of professionals

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PROFESSIONAL TRAINING

Technical internship, 4.5 months starting mid-April (M1)

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POSSIBLE SECTORS

Sustainable Development
Energy
Finance, Banking and Insurance
New Media and Video Games
E-Health
Telecommunications and Internet
Transportation

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POSSIBLE PROFESSIONES

Information Systems Architect
Consultant
Entrepreneur
Expert
Business Engineer
International Project Manager

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APPLICATIONS

Numerical Analysis Applied to Finance
Quantitative Risk Analysis
Numerical Optimization Methods

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SCIENCE ELECTIVE COURSE

Artificial Intelligence, Deep Learning and Applications
Blockchain: Challenges and Opportunities
Big Data for Companies
Creativity and Entrepreneurship
Design et conception
Internet of Things
Health Innovation
Security Management
Web et 3D
Digital Finance
Trading

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SCIENTIFIC OPPORTUNITIES

Big Data
Authentification, Security and Access
Multimedia and 3D Applications
Design and Innovative Conception
Health and Medicine Innovation
Creativity and Entrepreneurship

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GENERAL STUDIES

Law 
Culture and communication
Adapt in a Globalized World Seminar
Management and Development Seminar
English or FLE (Groups)
LV2 (optional)
Academic Conferences and round tables

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END OF STUDIES PROJECT (M2)

Old Technology
Management and technical skills
Fundraising
Pilot an R&D Project to define the phases and recrutement for your teams 

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PROFESSIONAL TRAINING

6-month Engineer Internship (end of studies) starting mid-February

Learning Objectives

By the end of this program, the new Engineer in IT for Finance will have the following skills:

  • IT infrastructure of financial markets (hard- and software)   
  • Functioning of financial markets 
  • IT Implementation (programming and operating software on different platforms)  
  • Analysis of mathematical, numerical optimization problems  
  • Ability to adapt to quantitative approaches into software coding 

Career Options

  • Quantitative Finance Developer 
  • Quantitative Finance Trader 
  • Quantitative Finance Analyst 
  • Software Developer Financial Applications 
  • Business Analyst for Financial Applications 
  • Technical Advisors for hard- and software on financial markets 
  • IT Support Analysts 
  • Specialist for Back office Operations in Banking, Exchanges or Custodians 
  • Doctoral Studies.