New post-trade operating model - what does it look like?: whitepaper

What the new post-trade operating model looks like as firms redesign operations for greater scale and resilience.

In Partnership with

Part three of the series examines how the post-trade operating model is evolving to meet faster settlement, real-time data demands and broader asset class coverage. It explores how firms are using predictive analytics, artificial intelligence (AI)-driven exception management and integrated platforms to improve resilience and scale.

T+0 allocations critical

Operations

A figure card showing up to 70% of post-trade operational costs.

Predictive analytics and AI tools are helping firms resolve exceptions faster and reduce the operational cost associated with them.

Firms that have not yet automated allocations face the clearest and most immediate execution risk ahead of their T+1 deadlines.

FX spreads rise

Cost

A figure card showing January 2025 as the DORA effective date.

Operational resilience is no longer optional — DORA has made it a regulatory baseline for EU financial institutions.

As more firms make the same adjustment, liquidity in the trading-day window may compress further.

Hiring fills gaps

Resources

A figure card showing 5+ asset classes for flexible platform integration.

Systems now need to accommodate rising volumes while adapting to a broader range of asset types.

Hiring is a transitional response, not a scalable one — firms that do not automate will face rising costs as volumes grow.

Post-trade operations are being redesigned as faster settlement, broader asset coverage and growing resilience requirements place more pressure on legacy models. The shift is no longer only about efficiency. It is about building an operating model that can adapt to higher speed, more complexity and tighter control expectations.

What does a scalable post-trade operating model now require? How are firms using data, automation and platform integration to reduce friction and improve resilience?

Part three of the series examines how firms are rethinking post-trade architecture to meet the demands of accelerated settlement, real-time information and expanding product complexity. It looks at predictive analytics, AI-driven exception management and integrated operational platforms as building blocks of a more future-ready model.

The research, produced in partnership with S&P Global Market Intelligence, highlights:

Exception management continues to absorb significant operational effort, prompting greater use of predictive analytics and AI tools

January 2025 European Union (EU) Digital Operational Resilience Act (DORA) deadline: operational resilience is becoming more urgent as the EU's DORA comes into force