Ruth Buscombe, a former Formula 1 race strategists, is set to bring her data-driven insights to the world of specialist finance as a headline speaker at NivoCon 2025.
Buscombe (pictured), who is now an analyst, commentator and presenter with the Formula 1 Group, will address delegates at the one-day event in London on 17 July.
Tthe conference, which is hosted by digital messaging platform Nivo, is aimed at brokers, lenders and professionals across the specialist lending landscape.
With a background in engineering and race strategy, Buscombe made her name in the high-stakes world of motorsport, where split-second decisions and data analysis can determine success or failure. Her keynote will explore how lessons from Formula 1 – including high-performance teamwork, rapid decision-making and the use of real-time data – can be applied to improve outcomes in financial services.
NivoCon 2025 will be held at Convene, 22 Bishopsgate, and is free to attend for professionals working in the sector. The agenda includes panel sessions on artificial intelligence, packaging, and the evolving broker–lender relationship, all designed to reflect current market challenges and opportunities.
Richard Davies, chief executive of Allica Bank, is also confirmed as a keynote speaker and will discuss how the bank is scaling rapidly by blending human insight with technological innovation.
Matthew Elliott, co-founder at Nivo, said: “Ruth brings a completely fresh perspective to lending, from a world where decisions have to be made quickly, intelligently, and with absolute confidence. Her insights into performance under pressure and how data-driven systems shape outcomes will offer valuable lessons for anyone involved in the world of specialist finance.”
He added that this year’s event would demonstrate the real-world application of AI across the sector, with sessions focused on practical ways to drive business growth and operational efficiency. “At NivoCon, we’re not just talking about AI, we’re showing what it really looks like when applied effectively,” said Elliott.
