FlexFinance provides a modern front-office system with omni-channel processes throughout all sales channels. In this way, a customer can check the lending conditions and finalise an agreement via any sales channel; either online, self-service, app, mobile device or in the conventional manner, at a branch office.
Since a bank has access to a customer’s status at any time, it can specifically support and target customers. If a customer wishes to switch to another sales channel, e.g. from online to a personal service at the branch office, all the data are available in the system, thus allowing banking staff to focus directly on advisory services.
Experience has shown that specific omni-channel processing of “grey-area” applications, which would be rejected in a regular online application process, can result in a successful conclusion.
FlexFinance covers the whole process ranging from the loan application, risk calculation and multi-level approval process.
Thanks to a workflow, the process is interactive and is transferred directly in the system. Staff at branch offices can inform a customer of the decision on a loan is just a few minutes. Suggestions for upselling and for a customer's maximum credit level can be provided to staff by the system.
The average time for processing an entire loan, including the application, the approval process and the signature, is less than 25 minutes, while unit costs per application are low and process quality is high.
Our experience in corporate financing has shown us that although every loan is different, the processing of lending operations has to conform to standardised processes and regulatory requirements. A business lending solution has to fulfil these somewhat contradictory demands effectively.
FlexFinance allows for a high degree of flexibility in the mapping of corporate financing and syndicated loans. The decision-making guidelines for credit committees are clear and transparent. Loans, collateral, syndicate members, individuals, institutions and companies are included in the scope of the workbench.
Existing lending contracts are processed quickly, efficiently and, to a great extent, automatically for management purposes.
All process steps for monitoring and adjusting lending contracts are provided, including the consideration of extraordinary events and problems. Future payment and repayment processes can be processed flexibly and adapted to current situations.
Extraordinary events:
Problem cases:
The sub-ledger for loans is managed by FlexFinance. This can be used as a current account or operate directly with the existing current account.
In accordance with current legislation, incoming payments are divided into the asset subclasses of repayment, interest, charges or residual debt insurance. Special repayments as well as early pay-offs can be detected automatically and posted accordingly. Charges/expenses and interest models depending on the asset sub-class can be used in cases of impairment.
Account management is fully automated and the members of staff responsible are notified by FlexFinance when problems occur.
The multi-GAAP-capable financial accounting includes all functions required for the creation of financial reports and notes. This includes calculations relevant for the initial and subsequent measurement as well as financial bookkeeping of accounting transactions which cover the entire life-cycle of financials and non-financials. The embedded Accounting Rules Engine generates journal entries for all accounting transactions. Financial Statements such as balance sheet and notes are supported. Alternatively or in addition debit/credit entries can be provided for a separate general ledger in SAP, Oracle or any Core Banking System.
FlexFinance provides a comprehensive IFRS solution which includes valuation of financial instruments, calculation of impairment and hedge management; consolidation with multi-currency capability. The IFRS accounting logic and the standard chart of accounts are part of each delivery.
The ECL Workbench is a modular solution that calculates probability-weighted Expected Credit Losses (pwECL) in line with IFRS 9 requirements. This includes the calculation of 12-month pwECL with PD, LGD und EAD as well as lifetime pwECL for assets assigned to stage 1 or 2.
For financial assets with objective evidence of impairment, the Customer Impairment Workbench ensures that specific provision (SP) and lump-sum specific provision (LSSP) are dealt with in line with IFRS 9 requirements.
The Customer Impairment Workbench is a modular solution that covers all valuation and accounting requests linked to stage 3 impairment.
The aim of hedge accounting is to eliminate the net influence on the profit and loss account. Comprehensive regulations on hedge accounting are required due to the valuation concept in IAS 39 and IFRS 9, which values some financial instruments at fair value and some at amortised cost, and also due to the different effects on profit and loss.
FlexFinance supports the treasury, risk management and liquidity planning. Not only the actual payments are analysed and calculated, but also cash flow scenarios, market data scenarios and business scenarios are supported and rounded off by stress tests.
IRRBB, interest rate gap analysis und sensitivity, PV, expected cash flows, net interest income, maturity gaps, LCR, NSFR, eligible liquid assets ratio (ELAR), concentration risk, counterbalancing capacity (CBC), VAR and much more.
Podcaster: Robert Hall
FlexFinance Package for IFRS, ALM and Liquidity
With the introduction of IFRS 9 banks are required to consider possible expected credit losses during the entire life cycle of a loan.
But beside this fact expected credit losses are moving into ALM and Liquidity too as they impact expected future cash flows which form the basis for ALM and Liquidity analysis.
Therefore it becomes even more necessary than ever before to run IFRS, ALM, Liquidity on the same data for consistent and reliable results.
FlexFinance meets the reporting requirements of EBA/FinRep/CoRep and AnaCredit. The requirements for countries outside Europe such as Indonesia, UAE etc are also fulfilled. The FlexFinance data marts contain all the values that have been laid down by the supervisory authorities.
The credit spread is required for the credit application process. The credit spread should take into account the expected credit loss for an individual deal. As an alternative to conventional methods of scoring, rating and PD determination, Machine Learning can also be used, for this purpose, on the basis of a performance database filled with Deep Learning.
FlexFinance provides an API that can be integrated into the credit application process. We have other solutions for credit monitoring, accounting and backtesting.
The most significant impact on overall bank management is caused by the introduction of the Expected Credit Loss approach to reflect credit risk in external accounting.
IFRS 9 calls for the segmentation of financial assets on the basis of similar credit risk characteristics. For each segment, the expected credit loss needs to be calculated taking probability-weighted macroeconomic scenarios into account.
In contrast to the conventional segmentation/portfolio formation of loans, FlexFinance offers the ECL calculation on the basis of machine learning.
The application monitors the loans for which contracts already exist. Not only are customers and contract data taken into account, but macro- and microeconomic factors that naturally influence credit management are also considered. Based on deep learning processes and machine learning, the EWS application identifies criteria that point to an adverse business situation.
The EWS application initiates a workflow when certain events occur. The events could also be the variance of the ECL, for example. The workflow actions could also be linked to contract deadlines in such a way that realistic options for action exist.