Master Program in IT for Finance

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

FUNDAMENTALS
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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

PROFESSIONAL TRAINING
Plus de détails

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

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

INNOVATIVE PROJECTS IN M1
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Methodology and technical monitoring
Business Plan
Coaching: Support for teams
Competition with a jury of professionals

FUNDAMENTALS
Plus de détails

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

INFORMATION TECHNOLOGY
Plus de détails

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

INNOVATIVE PROJECTS IN M1
Plus de détails

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

PROFESSIONAL TRAINING
Plus de détails

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

APPLICATIONS
Plus de détails

Numerical Analysis Applied to Finance
Quantitative Risk Analysis
Numerical Optimization Methods

GENERAL STUDIES
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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

SCIENCE ELECTIVE COURSE
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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

END OF STUDIES PROJECT (M2)
Plus de détails

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

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

PROFESSIONAL TRAINING
Plus de détails

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

APPLICATIONS
Plus de détails

Numerical Analysis Applied to Finance
Quantitative Risk Analysis
Numerical Optimization Methods

SCIENCE ELECTIVE COURSE
Plus de détails

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

SCIENTIFIC OPPORTUNITIES
Plus de détails

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

GENERAL STUDIES
Plus de détails

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

END OF STUDIES PROJECT (M2)
Plus de détails

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

PROFESSIONAL TRAINING
Plus de détails

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.