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Date
August 03, 2026
Program Duration
3 days
Language
English
Fees
24,863
In Class Training
London
About Program
Understanding the strategic role of data analytics and artificial intelligence in banking and asset management, with a focus on key applications, trends, and strategies for achieving data-driven financial decision-making. The program also aims to equip participants with the ability to leverage advanced analytics and intelligent algorithms to enhance risk management, improve operational efficiency, and develop innovative financial products. It covers the latest advancements in generative AI, machine learning, and big data analytics, along with the most relevant use cases across retail banking, credit, investment, and portfolio management. Participants will gain insight into global best practices for adopting AI across financial institutions, as well as the regulatory and ethical frameworks related to data usage. This will enable them to develop practical insights and forward-looking strategies that support innovation and data-driven decision-making within their organizations.
Program Goals
1. Grasp the fundamental concepts and frameworks of data analytics and AI within banking and asset management.
1. Examine practical applications and use-cases of AI in financial services sectors.
1. Learn strategies for implementing analytics and AI initiatives effectively.
4. Understand emerging trends and how to align them with business and regulatory landscapes.
Join us for an unforgettable journey of exceptional learning
Program Agenda
In Class Training
1- Introduction to Data Analytics and AI in Banking
2- Key applications in asset management (e.g., portfolio analytics, risk forecasting)
3- Core strategies: from descriptive analytics through predictive and prescriptive analytics
In Class Training
1- Real-world case studies in banking (e.g., fraud detection, customer analytics)
2- AI-driven tools and platforms commonly used in financial services
3- Integration approaches: aligning data strategy with business processes and systems
In Class Training
1- Ethical, compliance, and regulatory considerations in applying analytics and AI
2- Emerging trends (e.g., machine learning, AI-driven personalization)
3- Strategy workshop: building or enhancing your own data analytics/AI roadmap
Venture into a whole new realm of knowledge
Application Process: Your Journey Starts Here
The admissions team will carefully review all elements of your application. The selection process will take up to eight weeks from the date of submission of a completed application.
Step 1
Online application and video interview
Step 2
Pre-selection and decision
Step 3
Interview with acceptance
Step 4
Admission Committee
Step 5
Final decision
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