List of SimCorp Risk Analysis Customers
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Since 2010, our global team of researchers has been studying SimCorp Risk Analysis customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SimCorp Risk Analysis for Portfolio and Investment Risk Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SimCorp Risk Analysis for Portfolio and Investment Risk Management include: Bank of Thailand, a Thailand based Banking and Financial Services organisation with 4000 employees and revenues of $1.20 billion, Alte Leipziger, a Germany based Insurance organisation with 1746 employees and revenues of $700.0 million, MEAG, a Germany based Banking and Financial Services organisation with 850 employees and revenues of $250.0 million and many others.
Contact us if you need a completed and verified list of companies using SimCorp Risk Analysis, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Alte Leipziger | Insurance | 1746 | $700M | Germany | SimCorp | SimCorp Risk Analysis | Portfolio and Investment Risk Management | 2006 | n/a |
In 2006, Alte Leipziger implemented SimCorp Risk Analysis, deploying SimCorp Dimension’s Risk Management module as a phase II rollout to support insurance investment risk monitoring. The deployment targeted finance teams in Germany and replaced an Excel-based risk solution used for Parametric VaR reporting and regulatory submissions.
The implementation configured core Portfolio and Investment Risk Management capabilities, including Parametric Value at Risk workflows, risk monitoring dashboards, and Solvency II reporting templates. Configuration focused on model parameterization, automated VaR calculation runs, and standardized reporting outputs to support ongoing compliance and risk oversight.
The rollout was executed in a compressed 20 working day window, reflecting a tightly scoped implementation approach and rapid operational cutover for the risk organization. The program emphasized scalable configuration to allow future adoption of more advanced risk models within the SimCorp Dimension Risk Management module.
Governance changes centered on centralizing risk calculation ownership within the finance teams and replacing spreadsheet based control points with system enforced processes. The initiative reduced operational risk and delivered a reported ~30% productivity boost in the risk department while enabling scalable, system-based risk modelling and reporting.
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Bank of Thailand | Banking and Financial Services | 4000 | $1.2B | Thailand | SimCorp | SimCorp Risk Analysis | Portfolio and Investment Risk Management | 2017 | n/a |
In 2017, Bank of Thailand selected SimCorp Dimension to consolidate reserve management, accounting, pre trade compliance and risk workflows. The deployment included SimCorp Risk Analysis in the Portfolio and Investment Risk Management category and the program progressed to a documented go live in 2019.
Implementation scope centered on modernizing monetary policy investment operations, with configuration workstreams covering reserve management ledgers, accounting integration points, pre trade compliance rule engines and risk analytics and reporting capabilities. SimCorp Risk Analysis was used to centralize risk calculation and reporting, align risk metrics to central bank investment policies and provide scenario and sensitivity analysis consistent with portfolio and investment risk management practices.
Operational coverage spanned the Bank of Thailand investment desk, treasury operations and accounting teams, creating a unified operational flow for trade lifecycle events, compliance checks and risk aggregation. The initiative consolidated previously separate workflows into a single platform architecture, enabling end to end processing from order validation through accounting close and risk reporting.
Governance and rollout followed a staged program with a 2019 go live, formalizing compliance checks and risk reporting governance across impacted functions. Outcomes reported with the program include a ~70% increase in STP rates, faster pre trade compliance checks and improved risk reporting and governance.
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MEAG | Banking and Financial Services | 850 | $250M | Germany | SimCorp | SimCorp Risk Analysis | Portfolio and Investment Risk Management | 1999 | n/a |
In 1999, MEAG implemented SimCorp Risk Analysis as part of its investment risk tooling alongside SimCorp Dimension. MEAG deployed SimCorp Risk Analysis within the Portfolio and Investment Risk Management category to support portfolio management, risk modelling, stress testing, and reporting for its asset management activities in Germany.
The implementation leveraged a centralized data backbone provided by SimCorp Dimension, with SimCorp Risk Analysis configured to run consolidated risk modelling and stress-testing workflows, scenario analysis, factor sensitivity calculations, and centralized risk reporting. Functional coverage emphasized portfolio analytics and model-based risk measurement, aligning risk outputs with portfolio management and reporting processes.
Operational scope focused on MEAG’s asset management activities in Germany, with risk teams and portfolio managers consuming unified risk views and standardized workflows. Governance centered on comprehensive risk processes and a centralized data model, and the deployment was reported to improve transparency and control in MEAG’s investment risk and reporting operations.
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