“Beyond Banking Risk is an Executive Program which addresses how artificial intelligence and innovation are transforming banking risk management in a complex geopolitical environment. Through a practical approach, the program explores the use of new technologies such as Blockchain and Machine Learning to improve risk analysis, prevent fraud and optimize strategic decision making in the financial sector.

BANKING RISKS

Features

DURATION: 10 weeks (8 weeks of academic content and 2 weeks of development and resolution of practical cases).

CASE STUDIES: Students will examine multiple case studies throughout the program, gaining insights into the practical application of course concepts and the best practices based on successful case outcomes.

Objectives

  • Analyze in detail the new international context, as well as the new risk analysis policies of Financial Institutions.
  • To study in detail the innovative technological tools that are being used to identify and mitigate such risks, through specific algorithms based on artificial intelligence for data processing.
  • Analyze how Artificial Intelligence can identify, manage and mitigate all types of risks earlier, detect potential fraud, reduce costs, minimize operational risk and increase the profitability of credit portfolios.
  • Know the advantages of decision making based on real time information.
  • Understand the new role of the risk department, beyond traditional borrower risk analysis and measurement.
  • Describe the new role of the risk analyst as a qualified advisor for strategic risk prevention in the company.

Who is this program aimed at?

  • Wholesale Banking Risk Analysts

  • Retail Banking Risk Analysts

  • Leveraged Finance Department

  • Corporate Risk Area

  • Direct Lending or Debt Funds

  • Mutual Guarantee Companies

  • Venture Capital Funds

PROGRAM OBJECTIVES

Analyze in detail the new international context, as well as the new risk analysis policies of Financial Institutions.

To study in detail the innovative technological tools that are being used to identify and mitigate such risks, through specific algorithms based on artificial intelligence for data processing.

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  • ➞Analyze how Artificial Intelligence makes it possible to identify, manage and mitigate all types of risks earlier, detect potential fraud, reduce costs, minimize operational risk and increase the profitability of credit portfolios.
  • ➞Know the advantages of decision making based on real-time information.
  • ➞Understand the new role of the risk department, beyond traditional borrower risk analysis and measurement.
  • ➞Describe the new role of the risk analyst as a qualified advisor for strategic risk prevention in the company.
  • ➞To understand the usefulness of Artificial Intelligence algorithms to establish the Rating or credit rating of companies.
  • ➞Learn about new Credit Scoring tools based on Machine Learning and Artificial Intelligence algorithms.
  • ➞Distinguish between the different types of artificial intelligence used in credit risk management: NLP (Natural Language Process), Chatbot, RPA, ML, etc….
  • ➞To learn about the use of Blockchain technology for Smart Contracts in Credit transactions.
  • ➞Address how Artificial Intelligence algorithms can automate and improve the calculation and measurement of Market Risk (VaR), Balance Sheet Risk and Operational Risk in Financial Institutions.

METHODOLOGY

The Executive Program is available in both online and hybrid formats, combining virtual learning with in-person sessions. For corporate clients, the format is fully flexible and can be customized to meet specific organizational needs..

INDEX

In this context, trends are examined, and the most disruptive and innovative strategies are identified through the analysis of multiple case studies, which reveal the key factors contributing to the success or failure of companies and financial institutions.

DURATION

The Executive Program runs for 8eeks (2 months). w For corporate clients, the duration is flexible and can be adapted to meet specific organizational needs.

CASE STUDIES

Students will examine multiple case studies throughout the program, gaining insights into the practical application of course concepts and the best practices based on successful case outcomes.

WHO IS THIS PROGRAM AIMED AT?

– Wholesale Banking Risk Analysts

– Retail Banking Risk Analysts

– Leveraged Finance Department

– Corporate Risk Area

– Direct Lending or Debt Funds

– Mutual Guarantee Companies

– Venture Capital Funds

PROGRAM COORDINATORS

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