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

SS&C Algorithmics Releases Risk Scenario and Simulation Service

Subscribe to our newsletter

SS&C Technologies has released SS&C Algorithmics Scenarios-as-a-Service (ScaaS), a subscription-based risk scenario and simulation service. The first scenario in the series focuses on the impact of pandemics such as COVID-19.

The service uses machine learning, global datasets, financial risk modelling and stress testing to create risk scenarios. The pandemic service delivers specialised stress tests over one, five, and ten-day periods to help organisations make decisions. It links epidemiological Susceptible, Infected, Recovered and Death (SIRD) factors to major global indices across North America, Europe and Asia, and can be expanded to include other macroeconomic data analytics.

Mina Wallace, general manager at SS&C Algorithmics says the company’s stress scenarios allow organisations to plan for changing market conditions with more accurate risk assessments. She adds: “The result is a cost-effective and efficient solution for financial institutions to help prepare for what’s ahead.”

SS&C acquired Algorithmics from IBM in October 2019, adding over 200 clients, 350 employees and offices in 25 countries. IBM acquired Algorithmics from Fitch Group in September 2011 and folded the company into its business analytics and optimisation division. The Algorithmics brand all but disappeared from view at IBM, but was resuscitated as SS&C Algorithmics following the SS&C acquisition.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unpacking Stablecoin Challenges for Financial Institutions

The stablecoin market is experiencing unprecedented growth, driven by emerging regulatory clarity, technological maturity, and rising global demand for a faster, more secure financial infrastructure. But with opportunity comes complexity, and a host of challenges that financial institutions need to address before they can unlock the promise of a more streamlined financial transaction ecosystem. These...

BLOG

Agentic AI Deployment Presents Potentially Dangerous Data ‘Trust Paradox’

Artificial intelligence deployment in capital markets’ data processes may be approaching an inflection point that, if not managed properly, could introduce dangerous risks to institutions’ operations. The growing deployment of anonymous agents has the potential to hardwire data errors into workflows, magnifying data weaknesses as the automating technology scales processes, according Informatica from Salesforce. The...

EVENT

TradingTech Summit New York

Our TradingTech Summit 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

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...