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The Financial Industry is changing at an unprecedented pace. A whole landscape of innovative products and new business models has emerged, with Technology as the main driver of such transformation.

MASTER IN FINANCIAL ENGINEERING & FINTECH

Master de Formación Permanente in Financial Engineering in Fintech.
Third Edition. In English. Fully online
Presentation

Master in Financial Engineering and Fintech

This postgraduate course in Financial Engineering and Fintech provides a deep understanding of the technological and quantitative tools that the Financial Industry demands.

PROGRAM OBJECTIVES:

After finishing the program you will:

  • Understand the new landscape of the financial industry
  • Understand the new technologies and business models that are reshaping the Financial World
  • Understand how these tools complement other traditional -formal- methods to analyze financial problems
  • Be able to implement these technologies in practical problems such as portfolio management, assets' valuation, or risk measurement
Master Master in Financial Engineering and Fintech - Universidad of Alcalá - UAH

What do we offer?

Postgraduate course in Financial Engineering and Fintech

TRAINING COMPATIBLE WITH YOUR WORK

This program allows you to make your training COMPATIBLE WITH YOUR WORK thanks to an innovative learning methodology.

SOUND PREPARATION

A SOUND PREPARATION for a total of 60 ECTS credits, which allows covering in-depth all the concepts and applications. No programming knowledge required.

METHODOLOGY

A METHODOLOGY focussed on practice and context, using cases, real situations and technological tools that allow you to learn from the beginning. The master combines prerecorded videos and live sessions with practical cases.

UPDATED CURRICULUM

An UPDATED CURRICULUM, which ensures that our students are obtaining the latest knowledge in line with the trends and demands of Society.

OUTSTANDING PROFESSORS

We have arranged a team of OUTSTANDING PROFESSORS with hands-on experience in the design of Financial Engineering

COMMUNITY AND ENVIRONMENT

We develop a COMMUNITY AND ENVIRONMENT that allows students to keep in contact with the professional sector, with seminars and activities to enrich your training experience.

PROFESSIONAL DEVELOPMENT PLAN

We will help you to design your PROFESSIONAL DEVELOPMENT PLAN to exploit at its most your talent and knowledge.

UNIVERSITY OF ALCALÁ

Study at the UNIVERSITY OF ALCALA, one of the best Universities in Europe.
Candidate profile

Master in Financial Engineering and Fintech

Professionals of the Financial sector who want to get exposed to these new technologies and business models or Graduates of different disciplines, particularly from STEM, who want to pursue a career in Finance
Program

FINANCIAL COMPUTING

  • R and Python Programming
  • Data input and Output
  • Flow Control. Plotting
  • High performance computing

FINTECH BUSINESS MODELS AND TECHNOLOGIES

  • Disruptive Technologies in Finance
  • Business Models
  • Case uses

DERIVATIVES VALUATION

  • Fundamentals of Continuous Time Finance
  • Valuation of Equity Derivatives
  • Valuation of Fixed-income derivatives

FINANCIAL MODELLING

  • Foundations of Probability
  • Linear models for the conditional mean
  • ARCH models
  • Nonlinear extensions

ARTIFICIAL INTELLIGENCE

  • Foundations of Artificial Intelligence and Machine Learning
  • Supervised learning
  • Unsupervised Learning
  • Reinforcement Learning Algorithms

RISK MANAGEMENT

  • Market Risk
  • Credit Risk and XVA
  • Model Risk

QUANTUM COMPUTING

  • Quantum Computing Fundamentals
  • Quantum Programming Workshop

BLOCKCHAIN TECHNOLOGY AND CRYPTOCURRENCIES

  • Distributed Ledger Technology
  • Cryptocurrencies
  • Smart Contracts
  • Applications to Investments, Real Estate, Banking, and Insurance

ALGORITHMIC TRADING

  • Market Microstructure
  • Pairs Trading
  • High Frequency Trading

MASTER’S THESIS

Independent research paper performed by the student on one of the topics of the Master. The paper needs to be presented and defended against a Committee at the end of the Master
Lecturers

The professors of the Master in Financial Engineering and Fintech are a group of professionals with hands-on experience in the application in Financial Engineering and Fintech

Tenured Associate Professor of Economics (Finance) and of Computer Science (Artificial Intelligence). Fulbright Visiting Scholar in several US Universities and consultant for several Spanish Fortune 500 companies and for the Government. He has authored more than 100 publications and has lectured in the USA, Asia and Latin America. Director of the Laboratory of Computational Finance and Head of the Chair in Big Data and Predictive Analytics in Banking of the University of Alcalá.
Ignacio Olmeda, Ph.D.
Director

Juan Palomar Burdeus is currently responsible for Market, Counterparty, Structural, and Operational Risk Analytics at BBVA. He is the global responsible for risk model development in the ambits of Market, Counterparty, Structural and Operational risks. He started in 2006 quantitative analyst in Corporate and Investment Banking in BBVA, developing tools to price and hedge exotic equity and FX derivatives. Juan Holds a PhD in theoretical physics.
Juan Palomar, Ph.D.

Jacinto Marabel is Head of Europe Equity Stocks Exotic Trading Derivatives team at BBVA. Jacinto has a PHD in Economics and Finance and he has published more than 15 papers in leading international financial journals
Jacinto Marabel, Ph.D.

He studied Physics at the Autonomous University of Madrid and an MSc. in Mathematical Modeling and Scientific Computing from the University of Oxford. He worked for 2 years with IBM Research in research projects in machine learning and cognitive systems. He currently works as Chief Data Scientist in the IBM Services team in Spain, leading various analytics projects, and bringing his approach to different AI initiatives. He is the author of two patents in cognitive systems.
David Kremer
Lecturer

Degree in Economics (Universidad Complutense de Madrid), Master in Economics and Finance (CEMFI 2003-2005), Executive Master in Quantitative Finance (AFI); she also holds a Programme of Management (Instituto de Empresa 2014). She is currently working in BBVA Corporate & Investment Banking – Global Markets (as Senior interest rate volatility trader). Previously, she worked as Interest rate volatility sales in Banco Santander.
María Ángeles Romero

Jorge Muñoz is a Fixed Income Senior Trader at BBVA (covering both linear and non-linear payoffs), where he has worked at several positions throughout his career, holding responsibilities in the Trading Floor and QBS areas. EIA by EFPA, Telecommunications Engineer by UPM, Master in Quantitative Finance by AFI.
Jorge Muñoz

As a Professor at University of Alcalá, I have 10 years of experience in education participated in several Master Programs in Spain, Latin America and Myanmar. I have been also a researcher for the Laboratory of Computational Finance and worked in different projects for companies such as Repsol and Santander. I have a Bachelor Degree in Business Administration, a Master's in Financial Engineering and I am currently a Ph.D. Candidate, working in the integration of Finance and Technology.
Enrique Ascordebeitia

He is leading the team in BBVA Global Markets that exploit financial data to automate execution and market-making trading strategies. He focuses on how to apply innovative quantitative and computational techniques to spur growth and efficiency in the financial trading business: from the pricing and risk management of derivatives to the development of algorithmic trading strategies and the application of machine learning techniques to financial datasets.
Javier Sabio

Physics specialized in quantum computing. Joined the Microsoft Quantum Docs team. She is currently working on writing the documentation for Q # and Azure Quantum. She studied theoretical physics at the Complutense University and a master's degree in Quantum Physics at the University of Innsbruck (Austria).
Sonia López
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