Compliance automation platform Ascent RegTech has been selected to join the Wells Fargo Start-up Accelerator Programme. The accelerator began in 2014 and currently has 23 companies in its portfolio. Start-ups are eligible to receive up to $1 million in funding, along with guidance from Wells Fargo business and technology leaders to help refine the launch of their ideas. The virtual, six-month, non-exclusive program has received nearly 2,500 applications from innovative companies in 91 countries since inception.
A-Team Insight Briefs
Ascent RegTech Joins Wells Fargo Start-up Accelerator
Regulatory reporting has been a cost and resource burden for financial institutions for many years, with the race to compliance in a highly regulated market often leading to multiple, singular regulatory reporting solutions. Legacy systems add to the challenges of making reporting changes in line with adapted and new regulations. This webinar will address these...
Regtech AxiomSL and trading, treasury and risk management platform Calypso Technology – which merged in July – have rebranded under the name Adenza, joining the likes of Finastra (formerly Misys), Alveo (formerly Asset Control) and others in settling on a synthetic term under which to operate as a fintech going forward. According to the company,...
This summit will explore challenges around assembling and evaluating ESG data for reporting and the impact of regulatory measures and industry collaboration on transparency and standardisation efforts. Expert speakers will address how the evolving market infrastructure is developing and the role of new technologies and alternative data in improving insight and filling data gaps.
Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...