Description: The goal of the redesign was to improve quality and usability of the client services area. Accomplishing this required substantial changes to the existing website, including better navigation and improved information handling. The changes allow all site visitors to get timely analytical information on the asset management market and early access to new offers.

Working together, our developers and designers added new client services enabling visitors to track changes in the cost of shares and calculate the profitability of various investment strategies for designated periods; free subscriptions to weekly and monthly analyst reports and reviews on Allianz’ union investment trusts; a User console that provides real-time information on ROI and the ability to act immediately on market change (launch Q1, 2008)

A yacht was chosen as the main design element, because it reflects the fast development pace of the company and emphasizes its innovative approach to using financial instruments.

Client: GE Money Bank Russia (formerly DeltaBank)

Description: NTR provided consulting related to the retail scoring system.

www.firstinvestorsmortgage.com

Client: DJ Ross Financial

Description: Informational site for a private investment banking firm.

Client: Central Bank of Russia

Description: A system allowing to monitor and manage a large EFT system. This application

• determines the current status, tracks and assesses the efficiency and alert condition of each component of the EFT system, as well as the overall system.
• tracks timelines for batch processes
• maintains resource-service model
• provides monitoring and system management tools for system admins and helpdesk personnel

Client: A large Moscow bank

Description: AI-based credit risk estimation, using an extended questionnaire and neural networks for cases when there is no credit history available.

Special challenge: Create an advanced, automated credit scoring technology for individuals with no previous credit history.

The system:

• collects and stores client questionnaires and creates an audit trail of all interactions with them and their affiliates;
• uses neural networks to analyze client information, determine credit risk, and provide a credit score; and
• integrates with both the call center module and the bank’s core financial system.

The implemented system has all the features of a typical financial services high technology CRM.