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Conferences / Alternative Data Conference

New York Alternative Data Conference, September 2025

Sep 17, 2025 · Well&, 151 West 42nd Street, New York, NY, United States

Conference
Alternative Data Conference Vendor & industry
Dates
Sep 17, 2025
Venue
Well&, 151 West 42nd Street
Place
New York, NY, United States
Format
In person
Status
Past
Attendance
—
Website
eaglealpha.com
Recorded
1 sponsors · 30 speaker appearances
Notes
Last edition run by Eagle Alpha before the November 2025 sale to A-Team Group. Speakers: full agenda as archived the day before the event; the post-event highlights confirm it took place. The sponsor 'thanks' graphic was not readable; recorded is Similarweb, which powered the drinks reception. Ticket prices not stated.

Ticket prices

No ticket prices recorded

Sponsors 1

Other 1

Speakers and talks 30

SpeakerCompanyRoleTalkLinks
Adam BraffBraff & CoModeratorAlternative Data in Action: Insights for the Discretionary Investor's Journey—
Amelie LabbeSRP GreeksPanelistThe Greeks – Data to Trade SWAPs, Derivatives and Structured Products—
Anju MarempudiEventVestorSpeakerEventVestor Insights: Driving Smarter Investment Decisions Around M&A Activity—
Apurv JainMacroX StudioPanelistMacro Data at a Crossroads: A Global View of Data to Fill the Void in Government Statistics—
Brendan FurlongEagle AlphaModeratorMacro Data at a Crossroads: A Global View of Data to Fill the Void in Government Statistics—
Christina QiDatabentoModeratorThe Future of Quant Infrastructure: Industry Trends, Buy vs. Build for Institutions and Startup Perspectives—
Christos KoutsoyannisAtlas Ridge CapitalModeratorThe Cutting Edge: Alternative Data in Investment and Fundamental Research—
Ciaran RyanEagle AlphaModeratorAI, Alt Data, and Compliance: From Governance to Exams—
Conrad GannBlue Water MacroModeratorBeyond the Hype: Practical Uses for MCP and What's Needed to Get Us There—
Gene EksterMaiden CenturyPanelistThe Cutting Edge: Alternative Data in Investment and Fundamental Research—
Jared BroadQuantConnectPanelistThe Future of Quant Infrastructure: Industry Trends, Buy vs. Build for Institutions and Startup Perspectives—
Jing SimaBCA ResearchPanelistMacro Data at a Crossroads: A Global View of Data to Fill the Void in Government Statistics—
Leo KorsunskyOleumPanelistThe Future of Quant Infrastructure: Industry Trends, Buy vs. Build for Institutions and Startup Perspectives—
Malik RollinsMcDermott Will & SchultePanelistAI, Alt Data, and Compliance: From Governance to Exams—
Matei ZatreanuSystem2PanelistAlternative Data in Action: Insights for the Discretionary Investor's Journey—
Michael FinneganEagle AlphaHostWelcome & Opening Remarks—
Michael TianoSchonfeldPanelistThe Cutting Edge: Alternative Data in Investment and Fundamental Research—
Michelle YangDatrix LabsPanelistAlternative Data in Action: Insights for the Discretionary Investor's Journey—
Nick PezolanoNewMark RiskPanelistThe Greeks – Data to Trade SWAPs, Derivatives and Structured Products—
Ovie KolokoParameta SolutionsPanelistThe Greeks – Data to Trade SWAPs, Derivatives and Structured Products—
Patricia TangneyLiberty MutualPanelistAlternative Data in Action: Insights for the Discretionary Investor's Journey—
Rong ZhaoStony Brook UniversityPanelistThe Cutting Edge: Alternative Data in Investment and Fundamental Research—
Sid GhatakIncrease AlphaPanelistBeyond the Hype: Practical Uses for MCP and What's Needed to Get Us There—
Stewart StimsonJump TradingModeratorThe Greeks – Data to Trade SWAPs, Derivatives and Structured Products—
Stuart ReidNosiblePanelistBeyond the Hype: Practical Uses for MCP and What's Needed to Get Us There—
Thomas GrantApptopiaSpeakerTracking AI's Impact: Insights from Mobile App Data with Apptopia—
Tim BakerBlue-Sky Nexus Inc / viaNexusPanelistBeyond the Hype: Practical Uses for MCP and What's Needed to Get Us There—
Tinika BrownMcDermott Will & SchultePanelistAI, Alt Data, and Compliance: From Governance to Exams—
Toby DaytonLinkUpPanelistMacro Data at a Crossroads: A Global View of Data to Fill the Void in Government Statistics—
Yichuan ZhangBoltzbitSpeakerLearning Machines: Private Data, Compute and Augmenting Fundamental Research—

Sources