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

Credit Suisse Securities Migrates from Outsourced Post-trade Solution to Torstone’s Inferno

Subscribe to our newsletter

Credit Suisse Securities (Canada) has selected Torstone Technology’s Inferno post-trade processing platform to replace its existing third-party outsourced solution and service. The project to migrate to Inferno is underway and focused on the firm’s institutional equities business.

A key driver for the change was to move away from an outsourced operation and increase efficiency across the wider business. Consolidating processes on Torstone’s Software-as-a-Service (SaaS) cloud-based platform will also provide Credit Suisse with the benefits of Torstone’s service model, which is expected to reduce total cost of ownership.

Credit Suisse chose to implement Inferno following a review period, including a detailed scoping analysis, which demonstrated Inferno’s capability to support the firm’s current business needs and flex in response to future requirements. Torstone Inferno is a multi-asset, multi-entity cloud-based platform, covering trade capture, confirmation, settlement, accounting, corporate actions, reconciliation and regulatory reporting.

Sam Farrell, director, head of operations at Credit Suisse Canada & Bahamas, says: “We decided to move to Inferno and bring our operational processing back in house in order to leverage a cloud-based, cross-asset platform. This will provide us with greater transparency and control over our business, and presents an opportunity to reduce our total cost of ownership.”

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

CFTC File Format Change to Impact Futures Data Management Teams

For futures commission merchants, clearing members, proprietary trading firms, and banks with material futures and options exposure, the transition of CFTC Part 17 Large Trader Reporting to FIX Markup Language (FIXML) is a test of data management maturity. This change directly affects firms responsible for aggregating, validating, and submitting large trader position data, often across...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...