top of page

SimCorp's Platform Evolution: The Transition to Cloud-Native Architecture

SimCorp is undergoing a significant transformation of its investment management platform, from traditional on-premises architecture to next-generation cloud-native solutions. This evolution began almost 10 years ago when SimCorp first started moving platform components to the cloud, but what we are witnessing today goes beyond a technology refresh, it is a fundamental reimagining of how investment management platforms can deliver scalability, user experience, and artificial intelligence capabilities in the modern era.


In our last blog post we discussed the SimCorp’s new solution for performance. This blog continues that discussion but takes a broader look at what else is coming in other business areas and how the general integration is going to look.


The Strategic Shift from On-Premises to Cloud-Native

The investment management industry faces mounting pressures, particularly in the front office, around speed, cutting edge technology, cost optimization, and artificial intelligence capabilities. SimCorp's response has been to rebuild core components of their platform from the ground up, transitioning to Microsoft Azure while embracing API-first design philosophy. This shift moves towards a more integrated, cloud-native solution that can support the scale and agility that modern asset managers require.


According to SimCorp, a compelling driver for this transformation is the need to remain competitive in the front office, particularly in providing solutions with fast response times on massive data volumes. The company has demonstrated the ability to process up to 200,000 positions in real-time, while maintaining responsive performance represents a significant competitive advantage that would have been challenging with traditional desktop applications.


From Lift-and-Shift to True Cloud-Native Architecture

SimCorp's cloud journey started with a traditional lift of the SimCorp Dimension platform to the cloud nearly a decade ago, later introducing Software as a Service (SaaS). However, what SimCorp is now developing represents a more fundamental shift to truly cloud-native solutions built from the ground up for cloud infrastructure. This includes the recent expansion of Business Services, from Data Management Services, to Investment Operations Services and Investment Accounting Services.


The new platform architecture maintains SimCorp's established unified data service layer but now delivers it through cloud infrastructure that promises enhanced scalability and deployment flexibility. This transformation allows for continuous deployment capabilities, freed from the version constraints that traditionally limited on-premises installations.


The Business Case for Cloud Migration

While clients can continue to remain on-premise, SimCorp highlights that transitioning to the cloud opens opportunities to leverage innovative features and new solutions available now and in the future. The business case for moving to cloud now has a more compelling reason beyond just operational efficiency. It is becoming essential for access to SimCorp's latest and most advanced capabilities.


SimCorp expects that clients can, in the foreseeable future, remain on-premise and purchase some new modules to be deployed on the cloud. However, the company suggests that eventually clients will have to make the move to fully benefit from the platform's evolution. Currently, SimCorp's focus is on front office capabilities in the cloud, which will likely expand across the investment chain in the years to come.


The next-generation framework is built upon SimCorp's Investment Analytics Platform (IAP), which has evolved from concept to reality with clients now starting to use it in production environments. This platform is taking on more and more clients as organizations recognize the benefits of cloud-native investment management infrastructure.


Cloud-Native User Experience

One of the most visible changes in SimCorp's evolution is the complete reimagining of the user interface. SimCorp new front office experience can handle massive datasets, such as processing up to 200,000 positions in real-time, while maintaining responsive performance that would have been challenging with traditional desktop applications.


The interface design philosophy draws inspiration from consumer technology, aiming for an intuitive experience for business users. Users can manipulate large datasets, create custom visualizations, and build personalized dashboards without needing to navigate complex menu structures. This represents a significant departure from traditional financial software interfaces that often require extensive user training.


As demonstrated by SimCorp, portfolio managers can now load over 200,000 positions instantaneously, manipulate historical data across different time periods, and create multi-asset views that seamlessly integrate public and private market exposures. The system's ability to maintain consistent data views across different time periods while processing such large datasets showcases the performance benefits of the cloud architecture.


AI Integration Through Copilot

Perhaps the most transformative aspect of SimCorp's new platform is the integration of artificial intelligence through Copilot functionality. This represents a fundamental shift in how users interact with financial data, moving from traditional point-and-click navigation to natural language queries that can generate complex analysis and visualizations.


SimCorp Copilot jointly developed with its strategic partner, Microsoft, allows users to ask questions like "show me duration contribution by portfolio versus benchmark" or "give me my instrument type distribution as a chart," with Copilot interpreting these requests and generating appropriate responses. More sophisticated queries can compare data across multiple time periods or create contextual visualizations, including geographic exposure maps used to assess geopolitical risks.


This AI integration extends beyond simple data retrieval to include analytical context. SimCorp Copilot can provide commentary on changes between periods, identify trends, and even suggest areas that might require attention.


A key component in SimCorp's approach is the implementation of natural language processing that bridges the gap between user intent and system functionality. Rather than requiring users to navigate complex menu structures, or remember specific field names, the platform interprets conversational queries seamlessly. For instance, when a user asks about "Market Value," the system intelligently maps this request to the appropriate data columns within the SimCorp architecture.


This natural language capability represents two years of development work focused on creating sophisticated orchestration layers within the platform. SimCorp's product teams have built comprehensive mapping systems that understand the relationships between common financial terminology and the underlying database structure. The orchestration engine contextualizes requests based on user roles and workflows, ensuring that queries like "show me performance metrics" are routed to the most relevant data sources and presented in the most meaningful format for each specific use case.


API-First Architecture Strategy

SimCorp's transition to an API-first architecture represents a significant strategic shift that acknowledges the diverse and evolving needs of modern investment managers. This approach exposes the platform's comprehensive data layer through documented APIs, enabling clients to build custom applications, integrate with third-party tools, or develop proprietary analytics while maintaining access to SimCorp's unified data infrastructure.


For insights into SimCorp's API's, we recommend checking out this blog post.

This architectural decision addresses a common industry challenge: the need for both standardization and customization. While SimCorp provides standardized front office tools, the API layer allows quantitative teams and developers to create specialized interfaces or integrate unique models into their workflow. Orders and transactions generated through custom applications can flow seamlessly into SimCorp's compliance and operations infrastructure.


The API strategy also supports integration with external data warehouses and analytics platforms, recognizing that many firms have invested in complementary technologies like Snowflake or other cloud-based analytics tools.


Market Position and Competitive Implications

SimCorp's transformation occurs within a competitive landscape, including established players like BlackRock's Aladdin and Charles River Development and newer entrants bringing cloud-native architectures from inception. SimCorp's advantage is its unified data service layer across public and private markets, and proven institutional capabilities but the proof is always in the pudding and SimCorp’s success, like other transformations, will largely depend on execution quality and migration support.


The Deutsche Börse acquisition has provided additional resources and complementary technologies, resulting in a more comprehensive buy-side technology ecosystem that clients can take advantage of. This includes risk management through Axioma, FX trading capabilities through 360T, and transaction cost analysis through recent acquisitions, positioning SimCorp to offer broader functionality than traditional point solutions.


Industry Transformation Implications

SimCorp's platform evolution reflects broader industry trends toward operational efficiency, cost reduction, and technological modernization. The integration of AI capabilities with traditional portfolio management functions may accelerate industry expectations around intelligent automation, potentially pressuring competitors to develop similar functionality.


Future Outlook

SimCorp's transition to a cloud-native, API-first platform represents one of the more significant transformations in the investment management technology space in recent years. The combination of proven institutional capabilities with modern architecture and AI integration positions the platform to address many current industry pain points.


As SimCorp continues rolling out these capabilities and expanding their cloud-native offerings, the industry will be watching closely to determine whether this transformation fulfils its promises of improved efficiency, enhanced user experience, and reduced total cost of ownership. At Dimensional Community, we will also be watching these developments closely and will make sure to report back to our community as we learn more about real-world implementations and client experiences.


Get In Touch

If you have any questions about SimCorp's next-generation platform evolution or are considering the transition to their cloud-native solutions, please reach out to us at Dimensional Community. Our team can provide insights and guidance on navigating this transformation and understanding the implications for your organization's investment management technology strategy.

BE THE FIRST TO KNOW

Subscribe and never miss a blog!

Thank you for subscribing!

bottom of page