London / Immenstaad, February 09, 2021 – The new Global RegTech Buyer’s Guide was just released by the specialist research firm RegTech Analyst. This guide is based on the 2021 RegTech 100 list. It displays the world’s most innovative tech solution providers that address the challenges of regulatory pressures within financial services. ACTICO ranks among the top 100 RegTech companies worldwide.
A panel of analysts and industry experts voted from a longlist of over 1,000 companies. The finalists were recognized for their innovative use of technology in solving a significant industry problem or generating efficiency improvements across the compliance function.
Why ACTICO was chosen on the list:
- Solid traction with established international clients across multiple jusisdictions
- Multifaceted solutions covering several verticals such as AML, KYC, transactions monitoring, insider trading prevention
- Ability to rapidly adapt to regulatory changes and new data makes it easy for clients to adapt to shifting market conditions – a feature made extremely relevant by the rise of Covid-19.
With more than 100 customers in 25 countries, ACTICO has built long-standing business relationships and understands the requirements of the financial industry.
“Our experience shows that digitalization and automation is becoming more and more of a focus for compliance departments,” says Thomas Knöpfler, Chief Sales Officer, Managing Director and co-founder of ACTICO. He continues: “Banks and insurance companies are in the process of automating their compliance tasks with RegTech, because regulatory requirements entail high costs and adjustments. Compliance organizations want to become more flexible and agile in the future and therefore rely more and more on technologies such as machine learning.”
Machine Learning as a Central Success Factor in Compliance Monitoring
Projects undertaken in banks and insurance companies reveal how machine learning drives automation. The focus is on improving the quality of hits in order to reduce the work involved in compliance clarifications. In sanction list and payment screening, financial institutions can cut this effort by up to 60% if they combine their expert knowledge with machine learning data knowledge.
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