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Capital Markets Back Office

Banking
System Connectors:
Avaloq
Temenos
Finnova
Custom Systems

Key questions answered:

  • Where are breaks occurring in the settlement lifecycle?
  • Which manual steps create risk exposure?
  • How can we improve straight-through processing (STP) rates?

Business impact:

  • Minimize operational risk
  • Reduce settlement delays and penalties
  • Enhance regulatory compliance readiness
Supported systems:
Trade capture platforms
SWIFT messaging
core banking and custody systems
reconciliation tools

Overview

Optimize Capital Markets Operations with Deep Process Insights

The Capital Markets Backoffice Process app from Verdant Data brings process transparency to complex financial operations. Built on UiPath Process Mining, this out-of-the-box (OOB) template uncovers bottlenecks and inefficiencies in the post-trade lifecycle, helping financial institutions reduce risk, lower operational costs, and improve straight-through processing (STP) rates.

Unleashing the Power of Process Mining:

Real-Time Trade Flow Visibility: Visualize the end-to-end journey of each trade, from execution to settlement, including reconciliations and exception handling.

Custom Configuration: Easily adapt the app to reflect institution-specific rules, regulations, or desk configurations.

Compliance-Driven KPIs: Leverage embedded dashboards to monitor operational KPIs and regulatory adherence across business lines.

Features

Straight-Through Processing Monitoring: Track exceptions and manual touchpoints to improve automation rates and reduce processing time.

Risk Reduction: Identify late settlements, breaks, and mismatches that introduce risk into back-office workflows.

Cost Optimization: Analyze resource usage and workload distribution to streamline operations and reduce overhead.

Regulatory Compliance: Ensure full audit trails and transparency for MiFID II, EMIR, or other jurisdictional reporting requirements.

List of KPI's to be measured:

Straight-Through Processing (STP) Rate

% of transactions processed without manual intervention (direct link to automation opportunities).

Average Processing Time per Trade

End-to-end time from trade execution to settlement.

Exception Rate

% of trades flagged for exceptions or requiring manual review.

Settlement Delays / Late Settlement Rate

% of trades settled after the required deadline.

Rework Rate

% of applications sent back for additional information.

Break/Mismatch Rate

% of reconciliations that result in mismatches (often a strong automation candidate).

Manual Touchpoints per Trade

Number of manual interventions in the process.

Regulatory SLA Compliance

% of trades processed within regulatory deadlines (MiFID, EMIR, etc.).

Average Time in Exception Queue

How long exceptions remain unresolved.

Resource Utilization

Effort spent by staff across key process stages.

Process Cost per Trade

Calculated cost from start to finish (enables automation ROI).

Volume Processed per Day

Number of trades or settlements completed daily.

Audit Trail Completeness

% of process steps fully logged and traceable.

Duplicate Trade Rate

% of duplicate trades detected.

Automation Opportunity Index

KPI combining exception rate, manual steps, and rework—flagging where agentic automation should be deployed.
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