Financial Risk Management Case Study

Financial Risk Management Case Study

MAIN INFORMATION

REGION: USA
INDUSTRY: Financial Services And Banking
TYPE: Web
ENGAGEMENT MODEL: Time And Materials
DURATION: App 1: 18 Months, App 2: Around 10 Years
STAFF: A Team Leader, Two Senior Developers, Two QA Specialists, 5–7 Junior And Mid-Level Developers

BUSINESS NEEDS

A business analytics company based in Silicon Valley commissioned Ensoft to develop financial risk assessment software.

CHALLENGES

This story began in 2011, when an analytics company based in San Jose reached out to Ensoft. Operating in multiple markets, this company’s corporate clients had been selling their products in different currencies, which made planning and calculating risks a dynamic challenge.

The company was helping its clients solve this challenge through a web application built using Visual Basic (let’s call it App 1). Users would sign up for the platform and the company’s analysts would perform various currency-related calculations for them.

Doing all the work manually wasn’t efficient, and the tech stack update had been long overdue, so the company considered rebuilding the application. And, having only enough in-house programmers for bug fixing, they searched for help.

Eventually, the company came across Ensoft through an online ad. Satisfied with our expertise and pricing, they tasked us with the job — and a journey of more than a decade began.

RESULTS OBTAINED

Over the course of eleven years, the client had been intensively using our help. And the number of big corporations using the system grew by the dozens as we developed it.

In 2022, the company’s CEO retired and sold the product - the Financial Risk Management Software - to a larger transnational corporation. They changed the whole concept of the software, and our involvement, as well as that of most of the original staff, came to a close.

This project has been instructive from beginning to end. We upgraded our skills at enabling massive calculations and learned to work with complex financial parameters, pulling them from external sources and processing them.

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