Quality, Service and Transparency

Value-Added for Clients

Quality, Service and Transparency

As a direct consequence of the financial crises that have occurred in recent years, the challenges/requirements for the Risk Management departments of banks and other financial services firms have increased substantially both in terms complexity and magnitude. This, in turn, has increased the pressure on both management and IT to put into place an appropriate IT infrastructure along with suitably qualified personnel to meet these challenges.

Thanks to the diverse project experience of our consultants ranging from dealing with new regulatory requirements all the way to providing solutions for complex quantitative problems commonly arising in Risk Management and Financial Engineering, we are able to decisively support your firm in handling a broad spectrum of problems encountered in the financial services industry.

Quality, Service and Transparency 2

As a consequence of this, working with QES will result in value-added for your firm in many ways including the following:

  • Quant Edge Solutions has access to the resources and know-how to competently manage a project from the initial Business Analysis phase involving producing the business concept document all the way to the ultimate implementation of the solution. Hence, QES clients are able to obtain all relevant services from a single source.
  • Quality, Service and Transparency are the overriding principles that guide all our dealings with our clients. As a boutique financial services consultancy firm we are, on the one hand, small enough to take the time required to fully understand our client’s problems, identify what is important to them, and subsequently implement a solution tailored to their specific requirements. At the same time, we have the necessary subject matter experts to provide our clients with solutions incorporating state of the art know-how and customized IT Solutions. Finally, we always strive to document our solutions and the associated utilized models in a transparent manner with a view towards fulfilling the requirements of an eventual audit and to allow other analysts subsequently working on the problem to readily identify what was done and seamlessly extend the solution as required.