How can Nasdaq enhance its Market Surveillance technology to better detect emerging forms of market manipulation?

Introduction

Enhancing Nasdaq's Market Surveillance technology to better detect emerging forms of market manipulation is a critical challenge in today's rapidly evolving financial landscape. As we explore this product improvement opportunity, we'll focus on understanding the current system's capabilities, identifying key stakeholders, analyzing pain points, and developing innovative solutions that leverage cutting-edge technologies and data analytics.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the current capabilities of Nasdaq's Market Surveillance technology. Could you provide an overview of the primary types of market manipulation it currently detects and its success rate?

Why it matters: Determines the baseline for improvement and identifies gaps in detection capabilities. Expected answer: The system detects common forms like spoofing and layering with 85% accuracy. Impact on approach: Would focus on emerging manipulation techniques and improving accuracy for known types.

• Considering user behavior, I'm curious about how trading firms and regulatory bodies interact with the surveillance system. What's the typical workflow for investigating potential manipulation cases?

Why it matters: Helps understand user pain points and opportunities for streamlining the investigation process. Expected answer: Alerts are generated, then manually reviewed by compliance teams before escalation. Impact on approach: Would explore automation and AI-assisted triage to reduce manual workload.

• Examining external factors, I'm interested in the regulatory landscape. Have there been recent changes in financial regulations that are driving the need for enhanced surveillance capabilities?

Why it matters: Ensures our solution aligns with current and upcoming regulatory requirements. Expected answer: New regulations require faster detection and reporting of complex manipulation schemes. Impact on approach: Would prioritize real-time detection capabilities and comprehensive reporting features.

• Considering the product lifecycle, where does the current Market Surveillance technology stand, and what key metrics are driving this improvement initiative?

Why it matters: Determines if we optimize for incremental improvements or major overhauls. Expected answer: Mature product, but facing challenges with emerging manipulation techniques. Impact on approach: Would focus on integrating advanced analytics and machine learning capabilities.