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CWI Robot Facilitates Work for Traders and Treasury

Developed in record time, the tool handles foreign currency quoting and negotiation.

Recognized twice as Banco BV’s Best Technology Partner, the CWI team delivered another high-impact solution that contributes to the bank’s growth.

Following the principles of our Strategic Software Engineering approach, we developed a robot to replace an older system. The new solution is more resilient and higher-performing than its predecessor.

Learn about our challenges in this project and the team that was created to meet them!

Challenge: Big-Bang Go-Live

One of the initial objectives of the new foreign exchange quotation engine project was integration with Bloomberg. This functionality is essential for Banco BV’s treasury and trading teams in their daily operations.

The robot autonomously handles quote negotiations, though it is continuously monitored by traders. If they identify any suspicious or suboptimal activity, they can turn it off. Thus, the technology supports daily operations without replacing the expertise of experienced professionals.

Due to the magnitude of the tool, deployment couldn’t be phased, so the go-live followed a big-bang approach. This characteristic added another layer of complexity to the project, especially since certain behaviors could only be observed once the system was in production.

The challenge was significant, but we managed to overcome it without disrupting operations—and in less time than typically required for projects of this nature.
A woman smiling at a computer screen with financial charts. She's also using a laptop.

Senior Team Delivers in Half the Expected Time

A project like this robot for traders, given its relevance and complexity, usually takes about 2.5 years to complete. Considering our partner’s context and requirements, we met an aggressive deadline and delivered it in 1 year and 3 months.

In this short timeframe, we deepened our expertise in the Financial Information eXchange (FIX) protocol, which enables high-speed, low-latency communications. Thanks to our ongoing partnership with the bank, we were able to assign CWI professionals who already knew BV’s processes, reducing the learning curve. The lean squad was composed of senior front-end, back-end, and quality assurance professionals.

When modernizing the legacy pricing platform, the team combined flexibility and commitment to delivering value to build a tailor-made solution. Overcoming the challenge was a collaborative effort that required research, continuous learning, and close interaction with the client.
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Benefits for Banco BV

  • Direct revenue impact: the new robot is faster than its predecessor, which is critical since the sale often goes to the first responder—not necessarily the one offering the lowest price;
  • Infrastructure savings, both in hardware and through the elimination of the third-party tool license, which is no longer needed;
  • Restored ability to maintain and enhance the system, which was no longer possible with the previous technology.
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This is just one of our Strategic Software Engineering solutions for the financial sector. Count on us to analyze your context and propose improvements that bring results for your business!


Technologies used in the project

To achieve the client's desired result in this project, these were some of the technologies used.

  • Google Cloud Platform (GCP) logo.

    Google Cloud Platform (GCP)

  • Spring Boot logo.

    Spring

  • Apache Camel logo.

    Apache Camel

  • QuickFIX/J logo.

    QuickFIX/J

Facade of the CWI Software building at the São Leopoldo office. Facade of the CWI Software building at the São Leopoldo office.

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