Tag: risk assessment

In the dynamic world of finance, client onboarding challenges abound, driven by the need to balance enhanced customer experiences against stringent compliance requirements.

In the rapidly evolving digital landscape, traditional methods of portfolio oversight are increasingly inadequate against the mounting cyber threats. Recognising this shift, a strategic, programmatic approach to cybersecurity has become crucial for safeguarding investments and enhancing company valuations.

Hero, the Paris-based FinTech startup, has recently bolstered its financial reserves with €11.3m in funding. The latest investment was spearheaded by Valar Ventures in an all-equity financing round.

In the evolving landscape of sustainable investing, Generative Artificial Intelligence (AI) is becoming a cornerstone for improving Environmental, Social, and Governance (ESG) frameworks.

The future of anti-money laundering (AML) controls in the payments industry is increasingly being shaped by machine learning technology. Paysafe’s Giacomo Austin recently spoke with Napier AI to offer valuable insights into this transformation.

Cytora, has introduced the Risk Flow Academy, a pioneering digital learning platform designed for commercial insurance professionals. This free resource is the first of its kind to offer comprehensive training in digital risk processing, setting a new standard for the industry.

Know Your Business (KYB) and Anti-Money Laundering (AML) are critical parts of the compliance ecosystem, but how aligned are they? FullCircl, a SaaS platform...

AI is increasingly becoming a focal point of discussion, particularly in how compliance departments within financial institutions prepare to adopt AI technologies for client screening and align with necessary regulatory standards.

In the evolving landscape of insurance, the adage "knowledge is power" has never been more pertinent. This is especially true in an era where data acts as the lifeblood of decision-making processes.

The evolution from manual to automated systems in the insurance industry marks a significant leap towards efficiency and precision. This transition, driven by the need to overcome the limitations of traditional underwriting methods, has paved the way for a new era of insurance operations. An automated underwriting system stands at the forefront of this transformation, leveraging advanced analytics and algorithms to streamline decision-making and risk assessment processes.