Quant Analyst in London

Quant Analyst in London

London Full-Time 50000 - 70000 £ / year (est.) No home office possible
Euronext

At a Glance

  • Tasks: Develop and optimise a swap pricer for major currencies and enhance data products.
  • Company: Join Euronext, a leading player in Europe's financial markets.
  • Benefits: Dynamic work environment with opportunities for career growth and innovation.
  • Other info: Collaborative team culture that values diverse perspectives and mutual respect.
  • Why this job: Leverage your quantitative skills to shape the future of Fixed Income trading.
  • Qualifications: 1-3 years experience in quantitative analysis and strong Python coding skills.

The predicted salary is between 50000 - 70000 £ per year.

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.

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.
  • 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:

  • From 1 to 3 years of experience in a similar role.
  • 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.
  • 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.
  • Exceptional analytical and problem-solving abilities, with a keen attention to detail and a commitment to delivering high-quality results.
  • Demonstrate a strong interest for Fixed Income data and financial markets in the context of electronic trading.
  • Basic understanding of market microstructure, order flow dynamics, and execution quality metrics in electronic trading environments is a plus.

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.

This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent adding more tasks, projects.

Quant Analyst in London employer: Euronext

Euronext MTS is an exceptional employer, offering a vibrant work culture in the heart of London where innovation and collaboration are at the forefront. Employees benefit from a dynamic environment that encourages professional growth through hands-on experience in quantitative analysis and access to cutting-edge financial technologies. With a commitment to diversity and inclusion, Euronext MTS fosters a supportive atmosphere that empowers individuals to make impactful contributions to the future of Fixed Income trading.
Euronext

Contact Detail:

Euronext Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quant Analyst in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your coding skills. Brush up on Python and be ready to discuss your analytical projects. We want to see how you think and solve problems!

✨Tip Number 3

Showcase your passion for financial markets! Be prepared to discuss recent trends in fixed income trading and how they relate to your work. This will demonstrate your genuine interest and knowledge in the field.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our dynamic team at Euronext MTS.

We think you need these skills to ace Quant Analyst in London

Python
Statistical Techniques
Quantitative Research Methodologies
Time-Series Analysis
Machine Learning
SQL
No-SQL
C++
Analytical Skills
Problem-Solving Skills
Attention to Detail
Interpersonal Skills
Communication Skills
Market Microstructure Knowledge
Fixed Income Market Understanding

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Quant Analyst role. Highlight your coding skills in Python and any experience you have with financial markets. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative analysis and how your skills can contribute to our team at Euronext MTS. Keep it concise but impactful!

Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills and any relevant projects you've worked on. We love seeing examples of how you've tackled complex problems, especially in the context of financial data.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!

How to prepare for a job interview at Euronext

✨Know Your Quant Skills

Make sure you brush up on your quantitative skills, especially in Python and statistical techniques. Be ready to discuss specific projects where you've developed pricing tools or worked with large datasets. This will show your practical experience and understanding of the role.

✨Understand the Market

Familiarise yourself with the fixed income market and electronic trading. Research Euronext MTS and its products, particularly around Swaps and Government Bonds. Being able to discuss current trends or challenges in these areas will demonstrate your genuine interest and knowledge.

✨Prepare for Technical Questions

Expect technical questions that test your analytical and problem-solving abilities. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences. Consider mock interviews to refine your responses.

✨Show Your Collaborative Spirit

Euronext values teamwork, so be prepared to share examples of how you've successfully collaborated with others in past roles. Highlight any experiences where you’ve worked closely with product development or data teams, as this aligns with the collaborative nature of the position.

Quant Analyst in London
Euronext
Location: London

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