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# Acquired Live Interview: Sri Shivananda (CIO, JPMorganChase) with Ben & David from Acquired

Sri Shivananda proves that flawless security is the ultimate prerequisite for financial innovation. Discover how JPMorgan Chase leverages a proprietary AI model to process $12 trillion daily.

- **Speakers:** [Sri Shivananda](https://www.wearedevelopers.com/@sri-shivananda), [Ben Gilbert](https://www.wearedevelopers.com/@ben-gilbert), [David Rosenthal](https://www.wearedevelopers.com/@david-rosenthal)
- **Event:** World Congress 2026 North America
- **Published:** September 24, 2026
- **Duration:** 27:29
- **URL:** https://www.wearedevelopers.com/videos/100371-acquired-live-interview-sri-shivananda-cio-jpmorganchase-with-ben-david-from-acquired

## Summary

Sri Shivananda, CIO at JPMorgan Chase, traces his path from early Silicon Valley startups and PayPal to managing the staggering complexity of global enterprise finance. Overseeing $12 trillion in daily payment volume across 120 currencies, Shivananda illustrates the intense operational demands of high-value corporate banking. Unlike consumer payments where standard high availability suffices, institutional transactions require absolute flawless execution—an ethos where security and stability act as strict prerequisites before speed and innovation can even be considered.

To maintain this extreme reliability while advancing technological capabilities, JPMorgan Chase leverages a 70,000-person engineering workforce to push the boundaries of financial infrastructure. Rather than relying solely on external tools, the organization has built an internal Large Payment Model (LPM). This proprietary transformer model is trained on a vast corpus of historical payment messages to execute "shift-left" risk management, proactively screening for fraud, sanctions, and money laundering before a transaction fully processes. Shivananda also highlights their continued investment in blockchain solutions, anticipating an "agentic marketplace" where cross-border, near-instant settlement becomes the standard.

Reflecting on his leadership evolution, Shivananda notes a vital shift from being purely technology-obsessed to intensely customer-obsessed, ensuring that cutting-edge tools serve concrete business needs. He emphasizes that navigating the current artificial intelligence computing wave demands addressing both inner-loop coding efficiency and outer-loop product discovery. Despite commanding a massive organizational structure, he stresses the importance of continuous hands-on tinkering—routinely building weekend software projects—to maintain the technical intuition required to lead effectively in an era of rapid technological acceleration.

**Keywords:** enterprise payment infrastructure, high-value transaction reliability, large payment models, shift-left risk management, financial fraud screening, agentic marketplace settlement, banking blockchain solutions, anti-money laundering detection, engineering workforce scale, fintech ecosystem modernization, customer-obsessed product development, cross-border transaction processing, transformer models in finance, developer productivity loops, technical leadership evolution

## Chapters

1. **Early software career and the origins of Google Groups** (00:00) — How archiving early online news groups led to the creation of foundational search and e-commerce technologies.
1. **Returning to technology leadership for JPMorgan payments scale** (02:41) — The transition from managing consumer payment volumes to handling trillions in daily institutional transactions.
1. **Managing global architecture for high-value institutional payments** (05:20) — The complexities of securely routing money across multiple currencies and international jurisdictions behind the scenes.
1. **Achieving absolute reliability for high-value transaction networks** (08:02) — Why critical government and corporate wire operations require a flawless infrastructure without dropped payments.
1. **Bridging early consumer fintech with traditional banking rails** (10:22) — How internet commerce speeds forced a re-architecture of slow traditional payment methods to handle growing consumer volume.
1. **Deploying artificial intelligence across the engineering lifecycle** (12:50) — Expanding generative development tools from code generation to continuous discovery and deployment workflows.
1. **Exploring blockchain and tokenization for near-instant settlement** (15:32) — Maintaining investments in distributed ledger technology to prepare for future agentic commerce and cross-border needs.
1. **Partnering with developers to scale commercial innovations** (17:24) — Why the world's largest financial institution relies on external developer imagination to build the future of commerce.
1. **Training an internal large payment model for transaction screening** (19:05) — Building a specialized transformer model on historical payment messages to proactively flag compliance and security issues.
1. **Prioritizing security and stability over immediate execution speed** (21:36) — Balancing the need for rapid innovation with the absolute requirement for operational trust and system resilience.
1. **Shifting from technology obsession to direct customer enablement** (24:05) — Realizing that pure technical curiosity must take a back seat to solving tangible problems for users.
1. **Maintaining technical relevance through weekend system development projects** (25:32) — How hands-on coding and infrastructure experiments help technology leaders stay connected to architectural realities.

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