JPMorgan AI Research

JPMorgan AI Research is the internal artificial intelligence research division of JPMorgan Chase, the largest US bank by assets and the principal global financial-services franchise headquartered in New York. The division was established in 2018 under Manuela Veloso, the former Carnegie Mellon University Herbert A. Simon University Professor of Computer Science who joined JPMorgan as Head of AI Research and one of the principal AI research executives at any US bank. JPMorgan AI Research operates an active academic-publication program across financial-AI applications including synthetic-data generation, time-series modeling, NLP for financial documents, fraud detection, and reinforcement learning for trading and execution. As of April 2026, JPMorgan AI Research is the principal AI research division among US banks by publication output, conference presence, and senior academic-affiliated research talent.

At a glance

• Founded: 2018 by JPMorgan Chase under the leadership of Manuela Veloso. The division operates within the JPMorgan Chase Office of the Chief Investment Officer for Technology and the broader JPMorgan technology organization.
• Status: Internal research division of JPMorgan Chase, a publicly listed company on the New York Stock Exchange (NYSE: JPM).
• Funding: Operates within JPMorgan Chase's technology-and-operations budget. JPMorgan's total annual technology investment exceeds $17 billion as of fiscal year 2025 to 2026.
• CEO: Jamie Dimon, Chairman and Chief Executive Officer of JPMorgan Chase (since 2005). Lori Beer, Chief Information Officer.
• Other notable leadership: Manuela Veloso, Head of AI Research and Herbert A. Simon University Professor Emeritus at Carnegie Mellon. Senior research scientists with publication output across financial-AI applications.
• Open weights: N/A. JPMorgan AI Research focuses on internal applications; selected academic publications and limited open-source contributions through GitHub.
• Flagship outputs: Active publication record at NeurIPS, ICML, ICLR, AAAI, ACM ICAIF (International Conference on AI in Finance), and other major AI venues; the JPMorgan AI Research public-facing research-program description; internal AI applications across trading, risk, fraud detection, and customer-services workflows.

Origins

JPMorgan AI Research was established in 2018 with the recruitment of Manuela Veloso from Carnegie Mellon University. Veloso, the long-tenured Herbert A. Simon University Professor of Computer Science at CMU and former President of the Association for the Advancement of Artificial Intelligence, joined JPMorgan with a research-program mandate to build an industrial AI research organization at a major US bank, modeled on the structure of academic-research labs but applied to financial-AI problems.

The 2018 to 2024 period under Veloso's leadership built a substantial research organization across the New York, London, Edinburgh, and other JPMorgan locations, with senior research scientists recruited from academic and frontier-AI organizations. The publication-and-conference-presence program produced research papers at NeurIPS, ICML, ICLR, AAAI, the ACM International Conference on AI in Finance (which JPMorgan helped initiate), and other major AI venues. Research areas included synthetic-data generation for financial training-data, time-series modeling for market microstructure and risk forecasting, NLP for financial documents and news, fraud detection, and reinforcement learning for trading and execution algorithms.

The 2024 to 2026 period has continued the research-publication cadence alongside continued AI-application integration into JPMorgan's commercial-banking, investment-banking, asset-management, and consumer-banking businesses. The April 2024 launch of LLM Suite, an internal generative-AI assistant deployed to approximately 60,000 JPMorgan employees, marked the company's most visible commercial-AI deployment.

The leadership-transition arrangements for the AI Research division have followed the multi-year academic-research-leadership cadence that Veloso established. Manuela Veloso retains the senior research-leadership role with academic-research and conference-engagement continuity. The senior research-scientist cohort recruited under her leadership continues to publish actively across major AI venues.

Mission and strategy

JPMorgan AI Research's stated mission is to advance the AI research that supports JPMorgan Chase's commercial-banking, investment-banking, asset-management, and consumer-banking applications, with active academic-publication and conference-engagement that anchor research-talent recruiting credibility. The strategy combines three threads. First, foundational AI research aligned with financial-services applications including synthetic-data generation, time-series modeling, NLP, fraud detection, and reinforcement learning. Second, internal AI-application development that translates research into JPMorgan's operational systems. Third, academic-community engagement through conference participation, the ACM International Conference on AI in Finance, and university-cooperation relationships.

The competitive premise is that financial-services AI applications have structural requirements (data privacy, regulatory compliance, latency, interpretability) that differ from consumer-internet AI applications and that an in-house industrial AI research organization can produce financial-AI capabilities that AI-vendor and consultancy alternatives cannot match.

Models and products

• Active academic-publication program. Research publications at NeurIPS, ICML, ICLR, AAAI, the ACM ICAIF, and other major AI venues. Research areas include synthetic-data generation, time-series modeling, NLP for finance, fraud detection, and reinforcement learning.
• Internal AI applications. Across trading, market-making, risk-management, fraud-detection, anti-money-laundering, customer-services, and investment-research workflows.
• LLM Suite. Internal generative-AI assistant deployed to approximately 60,000 JPMorgan employees as of 2024 to 2026. Combined with the internal IndexGPT investment-research and customer-services applications.
• ACM International Conference on AI in Finance. Conference initiated and sponsored by JPMorgan to anchor academic-community engagement on financial AI. JPMorgan researchers contribute organizing-committee and program-committee leadership.
• Selected open-source contributions through the JPMorgan AI Research GitHub organization including research-paper code releases.

Distribution channels are predominantly internal application integration with selected academic-publication and limited open-source contribution.

Benchmarks and standing

JPMorgan AI Research's evaluation framework combines academic-publication metrics (paper count and citation impact at major AI venues), internal-application performance metrics (productivity gains, fraud-detection accuracy, trading-execution improvements, customer-services capability), and the leadership-talent recruiting metrics that the academic-program engagement supports.

Industry coverage has consistently characterized JPMorgan AI Research as the principal AI research division among US banks by publication output, conference presence, and academic-affiliated research talent, with the Veloso-anchored research-leadership credibility differentiating the organization from peer-bank AI research divisions that operate with less academic-research orientation.

Leadership

As of April 2026, JPMorgan AI Research's leadership includes:

• Jamie Dimon, Chairman and Chief Executive Officer of JPMorgan Chase. Public face for JPMorgan's overall AI strategy.
• Lori Beer, Chief Information Officer.
• Manuela Veloso, Head of AI Research. Herbert A. Simon University Professor Emeritus at Carnegie Mellon. Public face for JPMorgan AI Research and academic-engagement direction.
• Senior research scientists across the New York, London, Edinburgh, and other JPMorgan AI Research locations, with publication records across financial-AI applications.

Funding and backers

JPMorgan AI Research operates within JPMorgan Chase's technology-and-operations budget. JPMorgan's total annual technology investment exceeds $17 billion as of fiscal year 2025 to 2026. JPMorgan's market capitalization in 2025 to 2026 has been in the multi-hundreds-of-billions of dollars range on the New York Stock Exchange. The company's strong cash flow from banking and investment-banking revenues supports continued AI research investment.

Industry position

JPMorgan AI Research occupies a distinctive position as the principal AI research division among US banks, with the Veloso-anchored academic-research credibility, the active publication-and-conference cadence, and the internal-application scale across JPMorgan's commercial-banking, investment-banking, asset-management, and consumer-banking businesses. Industry coverage has characterized JPMorgan as the US bank with the most credible AI research organization, with the academic-affiliated research talent and the ACM ICAIF conference initiative as the principal validating data points.

Competitive landscape

• Goldman Sachs, Morgan Stanley, BlackRock AI Lab, Citadel. Direct US-financial-services AI research peers with smaller publication-and-academic-engagement profiles.
• HSBC, Barclays, Deutsche Bank, Standard Chartered. International-financial-services AI research peers.
• D.E. Shaw, Jane Street, G-Research, XTX Markets. Quantitative-finance research peers with different commercial-structure (proprietary trading vs. customer-banking).
• Bloomberg AI. Financial-information AI research peer with structurally different focus (financial-information products vs. banking applications).
• Microsoft AI, OpenAI, Anthropic. Frontier AI research peers and providers of foundation-model APIs to JPMorgan.

Outlook

• The continued academic-publication cadence at NeurIPS, ICML, ICLR, ACM ICAIF, and other major AI venues through 2026 to 2027.
• Continued LLM Suite and internal generative-AI capability expansion across JPMorgan business lines.
• The continued ACM International Conference on AI in Finance program leadership.
• The continued senior leadership trajectory of Manuela Veloso and the academic-research-credibility positioning that Veloso anchors.
• The competitive dynamic against peer-bank AI research divisions and the ongoing in-house-vs.-vendor question for foundation-model usage.

Sources

• JPMorgan AI Research. Research-program reference.
• Manuela Veloso Wikipedia. Head of AI Research reference.
• Jamie Dimon Wikipedia. JPMorgan Chairman and CEO reference.
• JPMorgan Chase NYSE listing JPM. Public-market financial reporting.
• ACM International Conference on AI in Finance. Academic-conference initiative.