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Data Products: Transforming Fraud Detection in Financial Services
By Suki Dhuphar, Head of EMEA, Tamr. Cybercrime assumes many shapes and forms. As a result, it’s often challenging to identify fraudulent behaviour and subsequently address it. Traditional methods frequently fail to detect and combat illicit activities, leading to financial losses and eroded trust. Yet, even today, one of the most prevalent solutions to enhance…
The Potential and Practicalities of Implementing Generative AI for Compliance
While AI has been around for 20 years or so, its time has come in capital markets with Generative AI and large language models (LLMs) able to handle vast volumes of compliance data and achieve outcomes that cannot be reached by humans. GenAI apps are not, however, a silver bullet, and compliance teams are not…
Financial Institutions Turn to AI and Cloud to Solve Data Challenges
Financial institutions are undergoing digital transformations that are seeing them harness the full potential of the huge volumes of data they generate. Importantly, to do that they are deploying the technologies that are already defining our era – artificial intelligence (AI) and the cloud. From streamlining back-office processes to informing front-office decision making, and from…
Regulatory Data Handbook 2023 – Eleventh Edition
Welcome to the eleventh edition of A-Team Group’s Regulatory Data Handbook, a popular publication that covers new regulations in capital markets, tracks regulatory change, and provides advice on the data, data management and implementation requirements of more than 30 regulations across UK, European, US and Asia-Pacific capital markets. This edition of the handbook includes new…
EMIR Refit is on the Horizon – Is Your Organisation Ready? Find Out at Next Week’s RegTech Summit London
European Market Infrastructure Regulation Refit (EMIR Refit) is on the horizon with new reporting standards including more reporting fields, a change in reporting format from CSV to XML, an increase in the number of trading repository reconciliation fields for pairing a matching, and mandatory use of the Unique Product Identifier (UPI), which moves into production…
Recorded Webinar: Best practices for eComms and multi-channel surveillance
Surveillance of multi-channel communications is a moving target as financial institutions continue to add conversational streams, in many cases mobile applications previously banned from the trading environment. With more eComms channels comes more data that must be managed, retained, and ready for regulatory compliance. For many firms, the changing shape of surveillance is a complex…
TS Imagine Partners with eflow to Add Surveillance Capabilities
Trading and risk management platform provider TS Imagine has forged a partnership with eflow, a provider of regulatory compliance solutions, that aims to help mutual clients both to meet their regulatory obligations and to safeguard against market abuse through communications monitoring. According to Alex Carteau, head of corporate development at TS Imagine, “This partnership bolsters our…
FinTech Veterans Create Data, Technology and Services ‘Ecosystem’ to Solve Regulatory Challenges
The battery of ESG and financial regulations introduced in the past few years – and the future rules already in an advanced state of preparation – are weighing on institutions as the threat of censure for breaches increases. But a team of FinTech specialists has come up with a novel approach to helping all parties,…
Regulatory Reporting Handbook – First Edition
Welcome to the inaugural edition of A-Team Group’s Regulatory Reporting Handbook, a comprehensive guide to reporting obligations that must be fulfilled by financial institutions on a global basis. The handbook reviews not only the current state of play within the regulatory reporting space, but also looks ahead to identify how institutions should be preparing for…
Building Trust in AI: An Imperative for Widespread Adoption
By Anshuman Prasad, Global Head of Risk Analytics, CRISIL. As large language models (LLMs) continue to surprise there is a clamour to adopt AI in a more meaningful fashion across the financial services sector, where machine learning was previously accessible only in rarefied tech or quant circles. From algorithmic trading to predictive analytics and chatbots,…