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Enhancing post trade speed and accuracy: Projective Group’s participation in the Swift Hackathon 2024

Date:November 15, 2024

Projective Group was thrilled to participate in this year’s Swift Hackathon, embracing the exciting challenge set by the Swift team to create an innovative solution that addressed the theme of ‘building the capital markets of the future’. We brought together a talented cross-functional team, combining our expertise from across the business. Here’s how our team approached the challenge and delivered impactful results.

Choosing our challenge

The Swift Hackathon 2024 presented two capital markets challenges for participants to choose from: ‘Enhancing post-trade speed and accuracy’ and ‘Ensuring data privacy with tokenised trades’. The Projective Group team decided to focus on the former, helping to address many common industry issues such as transaction delays and errors. Their aim was to define a solution that leverages advanced technologies to create faster, more accurate, and more reliable post-trade processes, aligning with global trends towards shorter settlement cycles.

Developing our strategy

To tackle the challenge, we brought together people from different parts of our business including Data, Transformation, Payments, and Risk & Compliance, from across multiple European locations, to provide a variety of perspectives and expertise. 

Our team utilised Design Thinking ideation approaches to help develop ideas that were innovative, feasible, and, more importantly, could be prototyped and showcased in a way that was easy to understand. The ideation session allows everyone within the team to produce and debate ideas in a way that allows solutions to be seen through many different lenses and ensuring greater consideration of relevant information or issues. This approach is something we commonly use for solving client problems, as well as our own, and allows us to produce the most suitable and effective solution to a challenge. 

Key considerations

The first step to building our solution was defining the issues that needed to be fixed. From a list of many, we were able to produce three main problem statements:

  1. How can we implement intelligent systems for real-time discrepancy detection and resolution?
  2. How might we improve the STP rate of post-trade operations?
  3. How can we automate key post-trade activities, such as data entry and reconciliation, to reduce manual error and speed up transaction times?

These problem statements helped to govern the ideation session, always making sure that the ideas we generated related to the challenge at hand. With many ideas being discussed, having strong facilitation and control was critical to defining successful outcomes.

Another key factor the team had to consider was the needs and usability both for the consumer as well as solution provider, Swift. It was imperative that the solution was not only innovative, but also could be easily and practically scaled from a prototype whilst ultimately benefitting consumers. With this in mind, our team agreed that Artificial Intelligence would form the basis of our solution.

The solution 

Following our rich and insightful ideation session, a common solution was formed. We identified a need to build a User Centralised Platform with a focus on:

  • Voice input for trade initiation (e.g. dates USA vs rest of world)
  • Chatbot prompts and real-time suggestions. 
  • Auto-generation of trade corrections – allowing a human reviewer to review the underlying logic and approve/reject the correction. 

From this, we created two main use cases where we see the solution being used:

Use Case 1 – Investors reviewing the issue

Use Case 2 – Using AI to resolve the issue

The benefits 

  1. Increased Efficiency and Speed: Inclusion of AI significantly reduces the time required for trade reviews and decision-making, accelerating the entire process while maintaining accuracy.
  2. Manual Oversight for Compliance: By incorporating thresholds and rules, the platform allows for manual interventions where necessary, ensuring compliance standards are strictly maintained.
  3. Error Reduction: The centralised platform minimises trade errors and human mistakes in trade initiation, improving overall accuracy and reliability.
  4. Optimised Resource Allocation: The inclusion of a chatbot-based prompt reduces both the time and resources needed to complete and settle trades.
  5. Ease of Management: The platform’s design simplifies ongoing management and changes, cutting down on the effort required to maintain and adjust it over time.

Conclusion

With a record-breaking 79 entrants to this year’s hackathon, we were thrilled to be one of five shortlisted companies for this challenge, which meant developing a real-life prototype of our proposal in just two weeks! We were up against some very impressive entries and although we didn’t place this year, it was a truly enriching experience that allowed us to collaborate and utilise our combined expertise to tackle a real-world problem in today’s payments industry. We look forward to competing again next year!