Focus On

Credit Risk

p>Thanks to the experience gained over the years in the credit risk sector, Technology Reply Financial Services implements highly technological solutions based on decision engines and on rating engines that enable customers to manage the complexity and regulatory dynamism of the sector.

In the banking sector, starting with the Basel agreements, credit risk assessment has taken on significant importance. More stringent parameters were introduced after the financial crisis, forcing institutions to make more prudent assessments. Today, every bank needs a standardised, automated and verified risk evaluation process in order to operate on the financial market.

The modularity of Technology Reply’s product offer in terms of risk management facilitates the development of innovative and customised solutions that keep pace with the customers’ target technologies (FICO Blaze Advisor, SAS, Experian).

BENEFITS:

  • Time efficiency
  • Process automation
  • Data orchestration
  • Scalability
  • Instant evaluation
  • Control of the models
  • Decision support

Finally, Technology Reply Financial Services integrates its technological solutions with ad hoc applications that enable the customer to monitor the execution of the calculations carried out by the decision engines.

Specifically, these tools make it possible to:

  • Monitor production: the user can check if the evaluation of a counterparty is consistent with the implemented logic;
  • Simulate decisions: the user can simulate the rules before they are deployed as part of the decision engines;
  • Manage business logic: the customer can verify and change the logic implemented according to specific needs.

The benefits can be explained as follows:

  • Time efficiency: the engines are able to process large amounts of data by applying business logic and reducing turnaround times;
  • Process automation: The models developed are implemented and called by decision engines to automatically process risk assessments.
  • Data orchestration: management of the selection and preparation phase of sources needed to carry out the engine calculations;
  • Scalability: the sizing of the amounts of engine calculations and of the versions of the implemented models changes according to the customer’s exact needs;
  • Instant evaluation: through the implementation of specific online services, it is possible to interrogate the decision engine for the evaluation of a single counterparty;
  • Control of the models: changes to the implemented models are managed using a specific versioning available to the customer;
  • Decision support: the information set available for the decision making phase enables quick and deliberated decisions with respect to the counterparty’s risk profile.