Ffion Acland

Vice President – Data Engineer
Goldman Sachs

Harnessing the power of open source to achieve industry wide data standardisation for capital markets

Open Data
Wednesday, February 8 • 5:00pm – 5:30pm GMT
St James, 4th Floor
ffion acland

Harnessing the power of open source to achieve industry wide data standardisation for capital markets

Data is the life blood of many industries but it plays a vital role in the financial services and particularly capital markets world. As the industry drastically accelerates the pace of open collaboration, we will discuss how the industry is embracing open data collaboration to drive true industry wide standardisation.

Not only we’ll hear it from Goldman Sachs, maintainer of the Legend open source data modeling platform, but we’ll hear why established global industry bodies like ICMA, ISDA and ISLA have decided to open source their Common Domain Model, the global standard representing financial products and their lifecycle, into FINOS, the Fintech Open Source Foundation, the Linux Foundation project building open collaboration bridges across Wall Street, the City of London and the global financial industry.


Ffion is co-head of the Global Markets Data Models & Governance Team at Goldman Sachs tasked with defining, building and governing the internal data models for derivatives products. Since joining the Data Models and Governance team four years ago, she has contributed to many internal consumer implementations and most recently championed the project to open source the firm’s proprietary data management software ‘Legend’. Previously, Ffion was a member of the Credit Middle Office team in Operations where she gained experience over a six year period in derivatives and cash products. The need to successfully navigate the complexities of trade processing during that role led to a recognition of the industry-wide lack of coherence in data models. Ffion joined the firm as an analyst in 2011, made associate in 2014 and was named vice president in 2017. Ffion earned a Bachelors Degree in Mathematics and Management from University of Surrey in 2011 and an MBA with University of Exeter in 2021 with her project focused on industry-wide data models.