Mr. Sarthak Gupta

Data Scientist II, Finance Models, Risk Management, Amazon, Seattle, United States

Sarthak Gupta is an AI and quantitative-finance practitioner and a Data Scientist II on the Finance Models team within Risk Management at Amazon, where he builds multi-agent AI systems for finance. A financial engineer by training, with an MS in Financial Engineering from Claremont Graduate University and an MSc from King's College London, he has worked across the full range of quantitative risk: market-risk methods such as Value at Risk, derivative pricing and stochastic interest-rate modeling, asset-liability management, and credit-risk modeling. With more than six years of experience across quantitative finance and AI, he now focuses on applied machine learning, agentic systems, and the governance and validation questions that come with putting them to work in risk management and finance. He also writes and publishes in the field, mentors early-career professionals, and contributes to the research and conference community.

Talk: Designing Oversight In: Governing Agentic AI in Financial Institutions

Mr. Dinesh Velusamy

IT Governance, Risk & Compliance Specialist and Data Protection Officer, Melbourne, Victoria, Australia

Dinesh (Dino) Velusamy leads cybersecurity audits, process optimisation, and artificial intelligence projects in the Office of the CEO at Würth Australia. His work spans governance, risk, and compliance, as well as AI-driven commercial analytics. He has submitted his doctoral thesis at Federation University Australia, researching digital financial resilience across global economies. Research interests include digital financial risk, cybersecurity and applied artificial intelligence. Dino holds two master's degrees and has taught at universities and professional institutes across the United Kingdom, China, Malaysia and Sri Lanka. He has held consulting engagements at UNDP, mentors start-ups, and is an award-winning Australian technology specialist who has contributed to national cybersecurity reforms. He also writes regularly for leading international magazines. He is based in Melbourne, Victoria, Australia. Bringing an entrepreneurial approach to large-scale organisations, Dino connects academic rigour with practical business decision-making. His talk at this conference examines how data can be recognised and valued as capital, and how AI multiplies its economic return.

Talk: Data Capital: Discounted by Cyber Risk, Multiplied by AI