#2: Unlocking the Potential: Tech Insights and Strategies

8 Jun

20th June 2023

With:

| Neil Thomas (Goldman Sachs)

| Alan James (Standard Chartered)

Treasury departments are no longer just "cost centers"—they are the strategic nerve centers of the bank. In Session #2, Neil and Alan address the friction between the promise of instant liquidity and the reality of fragmented, legacy IT stacks. Following the market turbulence of early 2023, the discussion highlights a decisive shift in priorities: treasury technology must now deliver absolute cash visibility and dynamic collateral mobility to survive rapid-fire liquidity events.

The guests explore the architectural "Holy Grail"—global platforms that offer centralized control while maintaining the flexibility to navigate local regulatory nuances across multiple jurisdictions. From the "Build vs. Buy" dilemma to the transformative power of APIs and Cloud-native analytics, this session provides a pragmatic roadmap for treasurers looking to automate the complex interplay of funding, transfer pricing, and capital optimization.

Key Discussion Points:

The Real-Time Obstacle Course: Identifying the specific data bottlenecks that prevent banks from seeing their global cash and collateral positions in a single "pane of glass."
Post-2023 Priority Shift: How the collapse of SVB and the Credit Suisse merger forced banks to reprioritize "Intraday Visibility" and "Stress-Testing Agility" over long-term ROI projects.
Global vs. Local Flexibility: Strategies for building modular treasury platforms that can standardize data globally while complying with local data residency and regulatory rules.
The "Build vs. Buy" Calculus: When to invest in a bespoke in-house solution (for competitive advantage) versus when to leverage specialized Fintech "buy" solutions (for speed to market).
Data Interoperability: The critical role of standardized APIs and SWIFT gpi in ensuring that liquidity can move seamlessly between disparate internal ledgers and external market infrastructures.
Emerging Efficiency Classes: A look at how Machine Learning (ML) is being applied to cash-flow forecasting and how DLT could eventually revolutionize collateral tokenization.

Watch on Demand:

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