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AI for Debt Capital Markets is an introductory-level program designed for professionals in the debt capital markets (DCM) seeking to understand and apply artificial intelligence (AI) to enhance efficiency, accuracy, and innovation in their field. The course will provide a clear path to identifying, designing, and implementing AI solutions - ensuring regulatory compliance, ethical practices, and measurable business impact.
Learning Outcomes
By completing the programme you will:
- Understand the fundamentals of AI in debt capital markets - grasp the core concepts of machine learning, deep learning, and Generative AI, specifically applied to debt markets
- Apply AI to enhance data accuracy - utilise AI models to improve data extraction and processing of capital market instruments, reducing errors and increasing efficiency, with a particular focus on liquidity management
- Innovate in debt capital market instruments - explore AI-driven approaches for developing, managing, and understanding sovereign bonds, catastrophe bonds, and sustainable/ESG-linked debt
- Navigate regulatory and ethical considerations - recognise the ethical and regulatory frameworks that govern AI in capital markets, aligned with ICMA principles
- Design practical AI implementation – develop a practical AI rollout strategy - complete with stakeholder buy-in, risk mitigation, and design- thinking principles
Who should attend?
This course is designed for early- to mid-career professionals in debt capital markets seeking to enhance their understanding of AI. It is particularly relevant for professionals looking to leverage AI for efficiency, innovation, and compliance within bond issuance, trading, and risk management.
Assessment Certificate and Programme Recognition
This is a non-assessed course – participants who meet minimum attendance requires will receive a Certificate of Attendance from ICMA and the ICMA Centre, Henley Business School
Certificate and Programme Recognition
ICMA is an FCA-approved qualifications provider, approved by the Securities & Futures Commission of Hong Kong as provider of Continuous Professional Training (CPT) and a member of the CPD® Certification Service
This course is certified by ICMA and the ICMA Centre, Henley Business School, University of Reading and accredited by CPD® Certification Service
ICMA recommends that 20 learning hours can be associated with this course, based on attended/undertaken hours of study required to successfully complete the learning outcomes.
This is a non-assessed courses – a Certificate of Attendance will be awarded to those who meet the minimum attendance requirements
Please note that your course certificate of attendance or completion should be sufficient to satisfy any professional development requirements – if you require further evidence, please contact us at education@icmagroup.org.
Course Trainer
The syllabus content is divided into several key topic areas:
- Introduction to AI in finance - how AI has evolved in financial services, shaping the debt capital markets (DCM) landscape
- Understanding AI technologies - covers the core concepts of machine learning deep learning vs. Generative AI, all tied to relevant DCM examples (pricing, investor targeting, risk assessment)
- AI’s current & future role in DCM - case study of AI in bond issuance, underwriting, investor relations; future-looking trends
- Data management challenges in bond issuance - Common pain points in bond documentation; with an introduction / reminder of the ICMA standards and Bond Data Taxonomy (BDT)
- AI for data accuracy - Overview of how AI-driven data extraction, validation, and reconciliation tools can transform manual processes
- AI in cash management and liquidity forecasting - How AI-based forecasting models help in liquidity planning and cash flow optimization
- AI in sovereign bonds - Insights into using AI for macroeconomic analysis, risk premium calculations, and investor targeting in sovereign debt
- AI in catastrophe bonds - Leveraging AI for risk modelling, disaster predictions, and advanced reinsurance analytics
- AI in sustainable bonds and carbon markets - how AI can assess carbon projects, ensure ESG data integrity, and drive predictive analytics for green bonds
- Regulatory and ethical considerations - Overview of current regulations, standards (ICMA’s principles), ethical implications (bias, transparency)
- Practical implementations and design principles - Design thinking for AI solutions, case studies of successful AI rollouts in financial institutions
- Future trends in AI and debt capital markets - emerging technologies (Explainable AI, ESG-focused AI), with a focus on how to stay ahead of the curve
NB: Please note that all sessions will be supplemented with practical workshops including crafting a comprehensive AI implementation strategy
Livestreamed Course
ICMA's livestreamed courses are delivered via video conferencing accessed on our digital learning platform, using the most effective pedagogical approaches and incorporating interactive functions like virtual breakout rooms.
AI for Debt Capital Markets livestreamed sessions are delivered in four 3.5 hour sessions over the course of two weeks. You will be given access to the course materials before the live sessions, and will have access to those for four weeks from the first live session. During these four sessions you will have the option to keep working through the course materials at your own pace.
Livestreamed course fees
Members: EUR 2,100 (VAT not applicable)
Non-members: EUR 2,700 (VAT not applicable)
For security reasons, delegates who have not registered in advance will not be admitted to the live sessions.
- All payments must be made in Euro.
Contact
Should you have any queries, please contact education@icmagroup.org.
