Description
Introduction
Finance is digital and the Financial Services Industry acknowledges the need for a thorough digital transformation as the only means to thrive in the future. Technological capabilities are essential for a future in an industry that is digital in its very essence, the times of managing physical money and bonds being long gone.
Mastering the development and realisation of innovative financial products and services through digital technology is key. Financial systems thus become more reliable and transparent, and user interactions smoother. In terms of user-friendliness and adding value to said interactions, cybersecurity, authentication, (mobile) payments, robo-advisors, etc. all require adequate integration and packaging.
This course will guide you through the core concepts, techniques, and algorithms that are reshaping financial services. Participants will explore how AI can optimize operations, enhance decision-making, and transform customer interactions. With a focus on practical applications, the training will cover predictive analytics, machine learning models, and neural networks, equipping you with the knowledge to implement AI solutions effectively within your financial organization.
Objectives
After completing this course, the learner will be able to:
Understand AI fundamentals and their relevance to the finance sector.
Explore AI techniques such as machine learning, deep learning, and neural networks.
Learn to apply AI for predictive analytics in credit scoring and market trends
Master AI tools and platforms commonly used in financial applications.
Develop skills to implement AI-driven risk management and fraud detection systems.
Discover how AI can enhance algorithmic trading and investment strategies.
Study the impact of AI on customer service automation and personalization.
Examine ethical considerations and regulatory challenges of using AI in finance.
Programme
Introduction to AI in Finance
AI Basics and Financial Implications
Overview of AI and its transformative potential in finance.
Discussion on how AI is reshaping various aspects of the financial industry.
Key AI Techniques and Algorithms
Introduction to machine learning, deep learning, and neural networks.
Overview of algorithms commonly used in financial applications
AI Applications in Finance
Predictive Analytics and Credit Scoring
How AI models predict financial behaviors and creditworthiness.
Techniques for building and refining predictive models.
AI in Risk Management and Fraud Detection
Leveraging AI to identify risks and detect fraudulent activities.
Case studies on successful AI implementations in risk and fraud management.
Hands-On AI Tool Development
Developing AI Tools for Algorithmic Trading
Hands-on session on designing and programming AI algorithms for trading.
Simulation and back-testing of AI models with real market data.
AI-Driven Customer Interaction Solutions
Building AI tools for enhancing customer service and personalization.
Workshop on creating chatbots and AI interfaces for customer interactions in banking.
Target audience
The course is suitable for finance data managers, officers and individuals interested in AI working in banks, financial institutions, insurance and investment firms
Modalities
Course Material
Please note that for environmental reasons no paper version of the training material will be provided for your training. The course material can be downloaded free of charge via your portal before the start of the course (download the Client Portal User’s Guide here ). You will be able to view it on the screen of your mobile device or print it if necessary. If your registration has been made by a training manager of your company please contact him/her so that he/she can give you access to it or send it to you.
Exam
No exam is available for this course.
Contact
For further questions please contact our partner in your country