About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Fonetic Fuses Trade and Communications Data to Deliver Automated Trade Reconstruction

Subscribe to our newsletter

Fonetic has fused information on completed trades with all the voice and text communications associated with the trades to deliver a linguistics-based automated trade reconstruction solution. Called ATR integra, the solution is powered by a proprietary algorithm and can replace time-consuming manual reconstruction processes with automated collection, analysis and matching of trade and communications information.

Fonetic initially developed ATR integra in partnership with Santander and has deployed the solution across the bank’s trading activities over the past year. It is now working to deploy the solution at BBVA and says its is pitching to a large number of banks in London, New York and Asia Pacific.

Karen Winter, Fonetic sales and marketing director covering the EMEA region, says: “Piecing together confirmed trade data and related communications manually is a huge task. ATR integra uses a complex algorithm that matches trade ticket IDs to all relevant phone, email and chatroom communications. The algo links trades and communications in the background, which means the data is ready when a trade reconstruction is required.”

ATR integra can span multiple trading desks and cover all asset classes, and with 84 language engines it can be used to link audio communications in pretty much any language to trades.

Winter says ATR integra can be used for internal compliance purposes and to meet external regulatory requirements such as Dodd-Frank Title VII, which requires banks to be able to reconstruct any trade within 72 hours. MiFID II will also require audio analysis and banks to keep audio records for seven years. From a business perspective, she adds: “ATR integra can transform communications into valuable assets, perhaps helping banks gain a better understanding of behaviours on the trading floor. With this understanding, it is possible to see who is performing well and replicate profitable trading practices.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

How GenAI Is Reshaping Surveillance and Screening: Practical Takeaways for Compliance Leaders

The rapid expansion of Generative AI across financial institutions is often described in terms of technological capability, model performance, and data scale. But for compliance leaders, the more meaningful shift is organisational and operational. The recent A-Team Group webinar on GenAI and LLM case studies for surveillance, screening and scanning brought this into sharp focus....

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

A-Team Group’s Valuations Vendor Directory 2009

An indispensable guide to valuations professionals seeking providers of services in the asset valuations market. A-Team Group’s latest release in its series of directories – available for FREE download – focuses on vendors of valuations data, models and analytics. But this is not just another list of firms with their telephone numbers – you can get that...