• Insight
  • Thursday 25th January 2024

Meet the team: Nicolas Decouttere

Tell us a bit about yourself and your role at REGnosys 

I started my career in capital markets as a financial engineer and throughout my career was always in product-focused roles. Seeking a departure from traditional finance, I started looking specifically at technology-enhanced solutions in AI and blockchain. This led me to set up my own consultancy firm to support financial institutions and technology platforms to leverage these new technologies for their own use cases. After working for 16 years in the financial derivatives markets, I was quite aware of the inefficiencies of the post-trade lifecycle process and challenges of regulatory reporting. REGnosys has a very compelling solution for this and therefore it was a natural fit to start working with the team. I am now supporting the delivery of REGnosys’ SaaS platform, Rosetta, to financial institutions to enable them to benefit from a standardised data model and process automatisation. Making sure the technology solution caters to the user’s needs across technology integration, features, deployment strategy and information security is central to my role. 

What is a cool project that you’re working on now? 

I am currently supporting a blockchain project which is developing a lifecycle event management platform for voluntary carbon credit (VCC). The VCC sector can benefit from blockchain technology in many ways: by ensuring disintermediation of carbon removal projects and delivering more transparency and trust in the quality of these projects. The project leverages the CDM to fill the functional gap between legal contract formation and trade execution. The project also harnesses the capabilities of Rosetta in many ways, but mainly to transform data input into a CDM compliant object via a feature called Rosetta Translate.  

How has technology in the financial industry evolved in the last 5 years and what are the next trends? 

Financial institutions have started transforming into data management enterprises, realising the value of the data they own and generate during day-to-day activities. In addition, firms are implementing robust frameworks aimed at delivering a better data strategy built upon standardisation across market participants as well as internal activities and divisions. This puts the foundations in place for the implementation of technology such as AI.  


Another trend is the mutualisation of efforts and promotion of open-source initiatives, which are not seen as an antonym to competition but more as a catalyst for technological outperformance. 


Lastly, blockchain technology continues to see growing adoption as it offers the promise of a secure, decentralised and transparent framework which can bring efficiency and new business opportunities to financial institutions. 

Reporting Audit

First, map your data into CDM...

We have it covered it. All it takes is a +/- 2-day immersion workshop with your tech team to build your mappings.
As a by-product, you get a ready-to-use API to convert all your trade data

… And access your audit results on-line…

Once your trade data have been mapped, our reporting engine compares its output to your reports and analyses any discrepancy.
Analysis is developed within 6 weeks and results published into a web application.

… Through a powerful user interface

Forget static audit reports that end-up on a shelf.
Our reporting engine is available on-demand to reconcile your reporting process end-to-end and down to single trade flow, through a fully interactive interface.
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CDM Integration

We do the data mappings for you…

Just extract transaction data from your booking, reporting or any other systems, we handle the rest.
We build mappings in immersion with your tech team, as a packaged +/- 2-day workshop that includes valuable CDM training – and is fun (yes, really)!

… And deliver you a packaged output…

Forget data mapping spreadsheets and forget hard-coded translation buried deep into your code base.
What you get is a transparent, maintainable CDM translation dictionary, automatically packaged into an API to translate your internal trade messages.

… Which you can start using right away

Start using the API for testing right away. For production deployment, we offer a range of hosting options that adapt to your technology stack.
The application grows with you. Just edit your dictionary to connect more and more systems to CDM.
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Model-Driven Regulation

Bring-on the regulatory text…

Can be anything in your existing corpus, as long as it’s digestible and relatively self-contained.
The target is to deconstruct that text and reconstruct a model of the regulation in +/- 2 days.

… We’ll handle the rest…

Our team of regulatory and engineering experts works in immersion with you and guide the process from start to finish.
Our promise: some executable code running by the end of the workshop, delivered to you and ready for demonstration.

… And you’re ready to develop rules on your own

All it takes is a cross-functional team, ideally all-encompassing from policy to technology, who is open to a fresh (and fun!) approach.
The buck doesn’t stop there. Your team is now empowered to carry that project forward inside your organisation.
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Data Modelling

Take an existing data pipeline of any form…

Just choose among your existing business processes to experiment a model-driven approach in +/- 2 days.​
We can start from any kind of artefact, from XML messages down to Excel or even PDF documents.

… To demonstrate the model-driven approach…

Our team of data engineering experts works in immersion with you and guide the process from start to finish.​
Our promise: some executable data pipeline running based on your model by the end of the workshop.

… Which you can deploy within your organisation

All it takes is a cross-functional team of developers and non-developers, who is open to a fresh (and fun!) approach.​
The buck doesn’t stop there. That team is now empowered to carry that project forward and build model-based pipelines for your organisation.
Contact us