Agentic AI in Quant Risk: Adoption, Open Source and What Comes Next
In this episode of Ahead of the Curve, we explore how rapid advances in artificial intelligence are reshaping quant modelling, risk management and analytics development across the industry. Hosted by...
29 Huhti 22min
Synthetic Risk Transfers, Non‑Bank Financial Institutions, and Regulatory Focus? What’s Driving the Momentum?
In this episode, we explore the fast‑growing market for Synthetic Risk Transfers, what they are, how they work, and why they have become an increasingly important capital optimisation tool for banks. ...
17 Maalis 22min
Artificial Intelligence and Tokenisation in Post Trade Solutions: Current Applications and Future Plans
This episode of Ahead of the Curve offers a forward-looking perspective on how AI and tokenisation will redefine collateral management. Learn how Post Trade Solutions AI initiatives, from natural lang...
3 Helmi 45min
Unpacking the Agenda with Scott O’Malia
John Pucciarelli sits down with ISDA CEO Scott O’Malia for an in-depth discussion on the evolving landscape of the derivatives markets. Scott outlines the impact of recent geopolitical developments an...
22 Heinä 202542min
Risk Reimagined: The Rise of Open Source in Finance
This episode dives into the evolving regulatory and modelling landscape in the UK for traded risk. Scott Sobolewski speaks with Xabier Anduagaand Joey O’Brien about trends in counterparty credit risk,...
7 Heinä 202518min
Market Outlook 2025 - A focus on the OTC Derivatives landscape
In this episode, industry experts explore key market developments shaping the financial landscape in 2025. The discussion covers the evolving ISDA SIMM model as it shifts from annual to semi-annual up...
24 Kesä 202532min
Ahead of the Curve: 2024 Year in Review – Open Source Risk Engine (ORE)
Join Scott Sobolewski, Roland Stamm, and Joey O’Brien from Post Trade Solutions (formerly Acadia) Quant Services team, as they reflect on a transformative year for the Open Source Risk Engine (ORE). I...
23 Kesä 202528min
