Credit Risk and Ratings

Credit Risk and Ratings

Key details

Mode of delivery: Classroom-based

Course code: AFB61C

Duration: 1 day

Fee: £915.00 + VAT

CPD Hours: 6

Course Overview

This module helps participants assess disruptive technologies in financial services and their long-term implications.

Agenda

Financial Innovation and Fintech in Markets
  • Blockchain and Tokenized Assets
  • Algorithmic Trading and Robo-Advisors
  • Big Data, AI, and Predictive Analytics
Course Review
  • Summary and recap of key learning objectives
  • Action Planning

Target Audience

This course is suitable for:
  • Investment Professionals (Analysts, Associates, Portfolio Managers)
  • Finance Managers and Corporate Treasurers
  • Capital Markets, Fixed Income, Equity, and Derivatives Professionals
  • Financial Regulators and Supervisors
  • Risk Analysts and Financial Controllers
  • Wealth Managers and Private Bankers
  • Fintech Professionals
  • Policy Advisors and Economists
  • Sustainability and ESG Officers
  • Business School and Executive Education Participants

Learning Outcomes

By the end of this course, you will be able to implement a successful strategy that enables you to:
  • Describe how DLT enables asset tokenisation.
  • Evaluate the pros/cons of automated investment platforms.
  • Apply data science concepts to forecast market moves.

Categories

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