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

TORA Implements Cloud OEMS at Buy-Side Firms Based in Zurich and New York

Subscribe to our newsletter

TORA has reported two implementations of its order and execution management system (OEMS) in as many weeks, taking both Zurich-based Systematic Investment Management AG (SIMAG) and New York-based Schonfeld Strategic Advisors’ Asian offices into the cloud with its unified OEMS.

These implementations follow consolidation in the OEMS industry over recent years and demonstrate buy-side intent to improve technology and move solutions off premise and into the cloud.

SIMAG, a joint venture between Credit Suisse and the Swiss Federal Institute of Technology, uses artificial intelligence (AI) to extract signals from noisy financial data. The firm was looking for a technology partner that offered a cloud-based, unified OEMS and portfolio management system (PMS) that would allow it to execute sophisticated strategies using straight-through processing (STP). It also required an open system that could quickly interface with existing technology and deal with post- trade allocations.

Christian Gast, SIMAG CEO, says a selection process found TORA was best placed to provide flexible configuration, state-of-the-art technology and client service for the firm’s STP requirements.

Schonfeld Strategic Advisors, a global asset manager, has implemented the TORA OEMS to manage its Asian equity trading operations after a two-year, head-to-head evaluation that ultimately replaced a legacy OEMS platform with the TORA solution. Schonfeld is also using TORA Ticketing to support middle and back-office functions, including post-trade allocations.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

The Future of Market Data: Cloud and AI’s Transformative Impact on Capital Markets

Market data is the lifeblood of trading, but soaring data volumes and rising real-time demands are straining traditional methods of distribution and consumption. In response, financial institutions are turning to cloud technology and AI-driven solutions to modernise their data infrastructure, enabling greater scalability, improved efficiency, and deeper insight from their data assets. A recent webinar,...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Dealing with Reality – How to Ensure Data Quality in the Changing Entity Identifier Landscape

“The Global LEI will be a marathon, not a sprint” is a phrase heard more than once during our series of Hot Topic webinars that’s charted the emergence of a standard identifier for entity data. Doubtless, it will be heard again. But if we’re not exactly sprinting, we are moving pretty swiftly. Every time I...