Closing the Gaps: Eliminating Blind Spots in Transaction Monitoring for Asset Managers and Servicers

Asset managers and servicers operate in an environment defined by complexity. Capital moves across jurisdictions in seconds. Investors demand transparency. Regulators expect firms to identify and report suspicious activity with precision. In the webinar “From Blind Spots to Clarity: How Transaction Monitoring Protects Asset Managers and Servicers,” Adam McLaughlin, Director of Financial Crime, Product at Fenergo, Federica Taccogna, Principal at Squire Patton Boggs, and Neil D’Rosario, VP of Buyside Product at Fenergo, explored how firms can shift from reactive compliance to proactive risk intelligence by strengthening transaction monitoring frameworks. 

Expanding Regulatory Expectations 

A central theme was the growing exposure of asset managers and servicers to financial crime risk. For years, transaction monitoring was often seen as a banking obligation. That perception has changed. As distribution models expand, cross border flows increase, and product structures become more sophisticated, regulators are applying heightened scrutiny across the investment management ecosystem. 

Authorities now expect firms to detect unusual trading patterns, identify potential market abuse, and monitor investor behavior for indicators linked to money laundering or sanctions breaches. Asset managers and servicers must demonstrate that their controls are proportionate to the risks inherent in their products, investor base, and geographic footprint. 

Eliminating Data Blind Spots 

Blind spots frequently stem from fragmented data. Many organizations still operate with siloed systems that separate onboarding, investor records, and transaction activity. When these datasets are not connected, suspicious patterns can remain undetected. 

Consider a scenario where multiple related accounts subscribe to a fund in small, structured amounts. Viewed individually, these transactions may appear benign. Examined collectively, they could signal layering or attempts to obscure beneficial ownership. Effective transaction monitoring depends on consolidated, high quality data across the entire client lifecycle. Integration is not simply a technology upgrade. It is a prerequisite for meaningful oversight. 

Moving Beyond Static Transaction Monitoring Rules 

The webinar also addressed the limitations of static, rules-based monitoring. Fixed thresholds often generate high volumes of alerts, many of which are false positives. This places pressure on compliance teams and can dilute focus from genuine risk. 

A more effective approach aligns monitoring scenarios with the firm’s specific risk profile. By tailoring typologies to particular product structures, distribution channels, and investor segments, firms can reduce unnecessary noise while improving detection quality. Risk based calibration ensures that alerts reflect real exposure rather than generic assumptions. 

Leveraging Technology with Strong Governance 

Advanced analytics are increasingly central to modern monitoring frameworks. Behavioral modeling and pattern recognition tools can identify anomalies that traditional rules might overlook. Automation supports consistent alert handling, structured case management, and comprehensive audit trails. 

However, the panel emphasized that technology alone is not sufficient. Governance, clear accountability, and regular model validation are critical. Systems must be continuously tested and refined to reflect evolving regulations and emerging financial crime typologies. A well governed framework ensures that technology enhances, rather than obscures, transparency. 

Clarifying Roles and Strengthening Oversight 

Regulatory scrutiny is intensifying, particularly around sanctions compliance and beneficial ownership transparency. Asset servicers face additional complexity when acting on behalf of multiple funds and intermediaries. Clear delineation of responsibilities is essential. 

Firms must understand where monitoring obligations reside and ensure oversight mechanisms are robust when functions are delegated. Regulators increasingly expect documented evidence of risk assessments, scenario tuning decisions, and escalation processes. Demonstrable control is as important as the control itself. 

Embedding Monitoring Across the Lifecycle 

Transaction monitoring should not operate in isolation. It must connect seamlessly with onboarding, screening, and ongoing due diligence processes. Alerts that uncover new risk indicators should inform client risk ratings and influence future monitoring parameters. 

This integrated, lifecycle approach strengthens overall compliance posture and creates a continuous feedback loop. Insights gained from transaction data can sharpen risk assessments and support more informed decision making across the organization. 

Turning Compliance into Strategic Insight 

While regulatory compliance is the immediate driver, effective transaction monitoring offers broader value. Enhanced visibility into investor behavior can inform product design, distribution oversight, and risk forecasting. Firms that treat monitoring as a source of intelligence, rather than a regulatory obligation, gain a strategic advantage. 

The webinar’s overarching message was clear. Blind spots do not arise from a lack of commitment but from disconnected systems, outdated assumptions, and underutilized data. By investing in integrated platforms, risk aligned models, and strong governance structures, asset managers and servicers can transform transaction monitoring into a foundation for clarity. 

In a landscape of rising expectations and increasing complexity, that clarity is essential to protecting investors, safeguarding market integrity, and supporting sustainable growth. 

Take the Next Step 

To learn more, watch the webinar on demand to explore the full discussion and practical insights shared by the panel. 

If your organization is looking to modernize client lifecycle management, book a demo of Fenergo’s KYC and Transaction Monitoring solution. Discover how a unified, risk-based platform can eliminate data silos, reduce false positives, and deliver the transparency regulators demand while enabling sustainable growth.