The enhancement is designed to shift the role of risk teams away from time-consuming manual configuration toward higher-value strategic insight. By leveraging Natural Language Processing (NLP), the platform now allows users to design complex risk scenarios, identify relevant historical precedents, and evaluate potential market shocks using simple, conversational inputs.
This transition dramatically reduces the time required for stress testing, transforming a process that traditionally took hours into one that can now deliver near-instant results. A major challenge in traditional risk management has been the configuration bottleneck. During periods of market stress, such as geopolitical escalation or macroeconomic disruption the delay caused by manual model setup can limit a firm’s ability to react in real time. SimCorp’s AI layer directly addresses this issue by removing the need for spreadsheet-based workflows and manual data handling.
“When stress test configuration takes hours, risk teams cannot respond to events in real time. We are removing that bottleneck with AI-powered stress testing,” said Ian Lumb, Head of Risk & Performance Product Management at SimCorp.
At its core, Axioma Risk, SimCorp’s cloud-native multi-asset risk platform, now enables teams to focus on interpreting complex risk exposures rather than building them. This includes analyzing tail risks driven by interest rate fluctuations, currency volatility, and geopolitical developments. The AI-powered functionality introduces several key capabilities. Users can define scenarios using natural language, allowing them to express concerns in plain English rather than relying on technical configuration. The system can automatically identify relevant historical periods and datasets to calibrate models, while also applying statistical methods to assess the plausibility of each scenario. In addition, the platform enables rapid iteration, allowing investment managers to adjust assumptions and rerun analyses instantly without requiring coordination across multiple teams or systems.
Despite the increased automation, SimCorp has emphasized governance and transparency as core design principles. The platform maintains a strict “human-in-the-loop” approach, ensuring that all AI-generated scenarios require human validation before execution. Calculations remain grounded in SimCorp’s established analytical frameworks, and every step in the process is fully auditable, providing clear traceability for regulatory and internal review purposes. This balance between automation and control reflects the growing importance of explainability in financial AI systems, particularly as regulatory scrutiny continues to increase across global markets.
SimCorp provides integrated investment management solutions to more than half of the world’s top 100 financial institutions. Its Axioma Risk platform delivers a unified view of risk across front, middle, and back-office functions. As part of the broader SimCorp One ecosystem, this latest AI enhancement aligns with the company’s long-term strategy to automate workflows, improve data accuracy, and enable faster, more informed decision-making in increasingly complex financial environments.
