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 AI Co-Pilot: How Wall Street is Really Using AI for a Competitive Edge

The headlines paint a dramatic picture: autonomous AI traders making split-second decisions, rendering human portfolio managers obsolete. But for technology professionals on the ground, the reality of artificial intelligence in capital markets is proving to be both more pragmatic and, in many ways, more powerful. Discussions at A-Team Group’s recent TradingTech Briefing New York revealed...

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

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...