Exceeding expectations and setting new benchmarks for the modern treasury, risk and finance functions
Antares helps financial institutions monitor and control the revenue, cost and risk levers that impact profitability and return on equity. ALCOs and CXOs can simulate the impact of changing business, market and regulatory environments on risk & profitability metrics on a single platform.
Multi-year budgeting and planning across run-off and projected financials with scenarios to assess impact of on profitability and ROE
Dissect revenue and cost drivers across data hierarchies to determine customer, product and business unit earnings, financials and return metrics
Out-of-the-box support for multiple fund transfer pricing methodologies including use of market linked benchmarks
Factor-based models for allocation of non-interest revenue and cost to the relevant profit and cost centers
FTP pooling methodologies to dissect balance sheets based on performance units and funding mix strategies
Powerful high-speed cash flow engine with the ability to define custom cash-flow models for a wide variety of products
Product library of cash flow models for standard and structured products including treasury instruments
Pre-built behavioral models for analyzing cash flow profiles of non-maturing or optionality embedded products
Pre-built, flexible and configurable bucketing reports for cash flow matching, gapping and funding strategies
Configurable product pricing models, incorporating premiums and surcharges to address regulatory requirements and product risk profile
Balance sheet control, leverage ratios and asset-liability pool level ratios to enable product and funding control
Pricing transmission and attribution of pricing variation across products, positions and customers
Results of cash flow generation, ad-hoc end-user configurable simulations available in minutes, not hours
Optimization engine to help re-balance portfolios, align with risk-return strategies, policies and regulatory limits
Time-sensitive decision support and analysis by unifying data across sources using the latest in data streaming technologies
Micro-services architecture enables deployment of specific modules to the existing platform without disrupting data relations and functionalities