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Quant Analyst role at Euronext MTS focusing on swap pricing, data products, and fixed income market analytics.
Apply to join a dynamic team shaping Fixed Income trading in London.
Title: Quant Analyst
Location: London, United Kingdom
Description: Job Description
Euronext is a major player in Europe’s financial markets and operates major stock exchanges in Europe including Paris, Amsterdam, Brussels, Dublin, Lisbon, Milan, Oslo, Athens and more.
MTS (part of the Euronext Group) is a leading operator of regulated electronic trading platforms and market data services for the European fixed income market, leading in the European Government Bond space and recently expanded into Credit. The MTS platforms support daily transaction volumes of more than €220 billion daily.
We are looking for a Quantitative Analyst to support the launch of Swaps business as well as our existing data products and business. As part of this role, you will have a dual reporting line, firstly to the Head of Data and Domestic Markets of Euronext MTS and then to the Euronext Global Head of Quant Research and will be based in London, alongside members of both teams. In this position you will also work closely with the MTS Product Development and Business Analysis teams to create a Swaps pricer and analytics and to further refine our data offering to clients, that include real‑time API feeds and composite prices.
The ideal candidate will have coding (python) and analytical skills, with experience in developing pricing tools for the fixed income market. They will also have advanced knowledge of statistical techniques (robust estimation) for facilitating the delivery of reliable data products such as credit spreads estimates, and assisting in the monitoring and enrichment of the platform’s analytics.
At Euronext - MTS, you’ll be part of a dynamic, collaborative team that thrives on innovation and empowers you to make an immediate impact. If you’re eager to leverage your quantitative skills to shape the future of Fixed Income trading, we want to hear from you.
Apply to accelerate your career as a Quantitative Analyst with Euronext MTS!
Key Accountabilities
- Develop a swap pricer for the main currencies (initially EUR, USD, GBP) .
- Testing and benchmarking accuracy of the pricer versus existing solutions in the market.
- To check that the real‑time production implementation by IT fits with the original design of the model.
- Contribute to the drafting of specification and of any ancillary documents relating to the products launched.
- Continuously work with the MTS Domestic Markets & Data team and with the Euronext Quant Team to optimise the performances and the accuracy of the models, by challenging the input and output data, and by processing the external feedback by clients.
- Participate in the research on market microstructure, liquidity dynamics, and other factors influencing order flow and execution quality in electronic markets, leveraging both historical data and real‑time market information.
- Design of new data products as may be required by the business.
- Facilitate internal research.
Key deliverables will include:
- Interest Rate Swaps initiative :
- Curve validation.
- Support development of pricing engine.
- Testing of output of pricing engine.
- Swap curve bootstrapping and discounting.
- Calibration of MTS’ composite price stream, part of MTS’ data offering, covering all European Government Bonds as well as Credit – a universe of approximately 25,000 securities.
- Ensuring accuracy of existing Swap‑spread analytics for MTS’ Dealer‑to‑Client trading platform BondVision.
- Participate in discussions with data providers to agree requirements and validate their offering.
Knowledge, Skills and Experience Required
Experience
From to 1 to 3 years of experience in a similar role.
Education
Advanced degree (Masters preferred) in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering or closely related field.
A focus on financial markets and electronic trading is a plus.
Skills
Strong proficiency in Python – writing clean, efficient and production‑grade code – and experience with large datasets (SQL/no‑SQL, with knowledge of C++ being a plus).
Extensive knowledge of quantitative research methodologies, including probabilities, statistical modeling and time‑series analysis. Experience in machine learning is a plus.
Interpersonal and communication skills, with the ability to convey complex concepts to both technical and non‑technical audiences.