.svg)
.svg)
%20(1).svg)
%20(1).svg)
.svg)
Amith Rajan
Executive Vice President, Head of Wholesale Digital Banking, Mashreq & Chief Executive Officer, NeoVentures
Mashreq NeoVentures
View LinkedIn profileAmith Rajan
Head, Wholesale Digital Banking, Mashreq & CEO, NeoVentures
Experience
• Over 25 years of global experience driving transformation at the intersection of banking, technology, and innovation.
• Leads Mashreq’s Wholesale Digital Studio, advancing the bank’s digital-native, data- and AI-powered corporate banking agenda.
• As CEO of NeoVentures, drives strategic investments, fintech partnerships, ecosystem collaboration, and the incubation of ventures shaping the future of financial services.
• Previously held senior leadership roles at Standard Chartered Bank and leading consultancies, with experience spanning New York, Singapore, and Dubai.
• Deep expertise in AI/ML, advanced analytics, digital client journeys, operational automation, and data monetization.
Education
• MBA, University of Chicago Booth School of Business.
• Post Graduate Diploma in Business Management, SCMHRD.
• Bachelor’s Degree in Engineering, Pune University.
Speaking At
-
9:45–11:15amMon 16 NovPublic-Private RoundtableRoundtable Room 2Invite-Only
Accountability & Liability In Agentic Systems
Build, Buy, or Own: Strategies for Responsible AI Adoption in Finance
-
Amith RajanExecutive Vice President, Head of Wholesale Digital Banking, Mashreq & Chief Executive Officer, NeoVenturesMashreq NeoVentures
-
Jeremy HorExecutive Director, Enterprise Knowledge DepartmentMonetary Authority of Singapore
-
Louise JohnstonDigital Assets & Blockchain, Global PolicyMastercard
-
Dr. Zhao JingyuanHead, Group Data OfficeOCBC
-
Prof. Heng WangProfessorSingapore Management UniversityModerator
About this session
Financial institutions are moving well beyond experimentation with AI, deploying it across credit decisioning, fraud detection, and everyday employee workflows at genuine scale. But how they get there differs sharply: some are building their own foundation models on proprietary data to avoid depending on external providers with their most sensitive information; others adopt commercial AI tools but wrap them in anonymization and strict governance before sensitive data reaches them; and some capital allocators are treating AI infrastructure itself — compute, data centres, foundation models — as a strategic asset worth direct ownership.
Regulation is catching up fast and unevenly, with major regimes now treating data location and third-party AI access as a risk to be supervised, not just a technology choice. Given the different AI strategies already in motion, what would it actually take to make them interoperable, auditable, and defensible across jurisdictions?
-
