Yes, we offer trial versions.

Less time than you think. Our FlowBuilder is probably the most flexible and efficient modeling framework on the market. With FlowBuilder, you move from instrument data to analytics results in three basic steps in Python: Parse data from flat files (e.g., CSV) or databases. Define the data type in each column easily. Create instruments from parsed data. Map each column type to our generic instrument library. Create calculations. Choose which instruments to use for each calculation by defining calculation creators. For examples, contact us or visit our GitHub page.

Risk managers, risk analysts, treasurers, or anyone involved in balance sheet management.

Accurate results are conditional on accurate inputs. But what if data are not fully consolidated, or if issues with data arise over time? MASTIX ALM Studio can assist you in your journey towards better data quality. The transparency of results in MASTIX ALM Studio supports an effective feedback loop for sound data governance. Discrepancies are easy to pinpoint since any calculation can be tracked and explained over time. Those that understand the contracts on the balance sheet best, the end users, can analyze valuations and risks from any perspective—including accounting—to make sure they understand and agree. If there are any discrepancies or errors, clear and actionable information on instrument level—or even cash flow level—can be fed back to the source system.

MASTIX ALM Studio has one of the most flexible contract modeling frameworks on the market. Using our FlowBuilder, we can model any instrument. Standard reports for credit risk, market risk and liquidity risk are available out-of-the-box, including IRRBB.

MASTIX ALM Studio does not have any built-in NMD models, but can can support analysis of any NMD model. The deposits are simply replaced with other rate instruments that constitute the NMD model. Dynamics of the model can then be tracked over time and explained with lookback. Even with a standardized bucket method for NMD, the model can be tracked over time and changes explained.

To make use of analyses with AI, you need data. In the area of financial risk management, the most important data are the risks and the dependencies of financial instruments. MASTIX ALM Studio illuminates the balance sheet in terms of all sensitivities. This data is crucial to understand the dynamics and be able to run any kind of comprehensive optimization. MASTIX ALM Studio also guarantees consistency across the balance sheet. This is a requirement to be able to run any automated scenario generation without generating unreasonable results.

MASTIX ALM Studio can be run on standard hardware with .NET 8 Runtime installed. It can also be run at most cloud providers, including AWS, GCP and Azure.

MASTIX ALM Studio has a cutting-edge treatment of cash flows that removes unnecessary or duplicate calculations and memory writes. It also uses a proprietary, highly optimized, implementation of a software technique called Algorithmic Differentiation (AAD). This technique is used extensively in AI to enable training of large neural networks. In MASTIX ALM Studio, AAD is used to calculate sensitivities very efficiently. The sensitivities have many applications in analytics: Explaining the dynamics of calculations: NII, EVE, LCR etc. Lightning fast approximations of scenarios for stress testing. For more information about AAD, contact us or visit our GitHub.

Yes. MASTIX ALM Studio has a rich API which can be accessed from C# and Python.