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Summary
Supply chain disruptions, geopolitical uncertainty, and financial stress are driving organizations to take a more proactive approach to supplier risk management. This session will demonstrate how trade intelligence and credit risk analytics can be combined to provide a more complete view of supplier and counterparty risk.
We'll explore how organizations can:
- Identify critical suppliers and customers — Use trade and shipment data to uncover supply chain relationships, key counterparties, and concentration risks.
- Assess counterparty financial health — Evaluate creditworthiness using forward-looking credit risk analytics, score trends, and watchlist indicators.
- Prioritize risk monitoring and decision-making —Leverage exposure analysis to focus attention on the counterparties that matter most.
Using a real-world case study, attendees will gain insights into how to:
- Identify key suppliers and customers within complex supply chains
- Detect concentration risks and potential points of disruption
- Assess counterparty credit risk using forward-looking indicators
- Monitor emerging risks through credit deterioration and watchlist analysis
- Enhance supplier risk workflows with exposure capacity insights
Agenda:
- Supply chain risk challenges and market trends
- Panjiva: supply chain visibility and concentration risk
- Credit Analytics: counterparty credit risk assessment
- Combined supply chain risk workflow
- Case study demonstration
- Q&A
Speakers
S&P Global
Mabel Ng
Executive Director, Product Management, Trade & Supply Chain
Mabel is the Executive Director of trade data tools product management at S&P Global Market Intelligence. She is responsible for the vision and roadmap of the Panjiva and Global Trade Analytics Suite product portfolio, inclusive of Global Trade Atlas (GTA), PIERS bill of lading, and GTA Forecasting products. Mabel partners with executives and businesses of all sizes to identify growth opportunities, reduce supply chain risk and assess markets. She has a passion for developing strong business relationships with customers to solve practical problems. Mabel has an extensive international trade background, prior to joining S&P Global, she spent ten years at the shipping line industry where she was responsible for new market analytics and research initiatives.
Mabel has an MBA and a Juris Doctor from the Chinese University of Hong Kong.
S&P Global
Anthony Yang
Senior Analyst, Quantitative Modeling Group (QMG)
Anthony is a Senior Analyst in S&P Global Market Intelligence’s Quantitative Modeling Group (QMG). He specializes in quantitative credit risk analytics and is actively involved in the research and development of innovative risk management solutions. Anthony joined S&P Global Market Intelligence in 2020 and holds an MSc from Columbia University.
Questions?
Please contact us if you need more information or have trouble accessing the webinar.