Index Structurer (VIE)

Euronext; Greater London; On-site; GBP 32,000 - 46,000; Full time

Job summary

Euronext is recruiting a V.I.E - Index Structurer in London to join the International Graduate Programme. You will design indices, model data, backtest rules, and support marketing and handovers while automating processes and ensuring data quality.

The role offers exposure to an international team and cross‑functional collaboration, with an initial 12‑month contract starting 1 November 2026.

Qualifications

• Masters degree in Mathematics, Engineering or Computer Science with solid finance knowledge.
• First experience with indexation, portfolio construction or trading is a plus.
• First experience with IT systems and operational processes is a plus.
• First experience in sales and relationship management is a plus.
• Advanced skills in Python and Excel are required.
• Knowledge of databases, data flows and SQL queries.
• Working knowledge of market data sources (Bloomberg, Reuters, Factset).
• Professional proficiency in English is required.

Responsibilities

• Supporting sales efforts through market research and client inquiries on index rules and data providers.
• Designing indices with data analysis, modeling, backtesting and materials support.
• Automating processes to ensure data consistency and quality checks.
• Handling operational tasks like ISIN codes, vendor announcements, and data provider liaison.

Skills

Python

Excel

SQL

Education

Masters degree in Mathematics/Engineering/Computer Science

Tools

Bloomberg

Reuters

Factset

Job description

Join us as a Index Structurer in our International Graduate Programme (V.I.E)!

Are you ready to kickstart your career with the leading pan-European market infrastructure? Euronext is seeking a dynamic candidate to join our Index department as an International Graduate (V.I.E).

To support its expansion, Euronext is looking for a V.I.E - Index Structurer to join the team from 1 November 2026, for an initial period of 12 months, in London. You will report to the Head of Buy Side Index Structuring & Technology.

You will be primarily responsible for :

• Supporting sales efforts through market research to identify growth opportunities across all trading products, while also providing client consultancy by responding to inquiries on index rules, compositions, methodologies, and data providers.

• Designing indices, including data analysis, modeling, backtesting, rule creation, and supporting the development of marketing materials and operational handovers.

• Automating processes to ensure consistency in internal databases and performing data quality checks.

• Handling operational tasks such as requesting ISIN codes, making announcements to data vendors, and liaising with data providers (e.g., Bloomberg, Reuters).

Working with us means:

• An agile, innovative and dynamic company where you can make an impact

• A professional experience designed for young graduates with exciting potential for international mobility and development opportunities

• A vibrant international and diverse team where you’ll collaborate with a network of 2,200+ talents across Europe, USA and Asia.

Join Euronext – Shape capital markets for future generations

Euronext is the leading European capital market infrastructure, offering trusted and sustainable markets to drive innovation and growth. Euronext operates regulated exchanges in Belgium, France, Ireland, Italy, the Netherlands, Norway, and Portugal, covering regulated equity and derivatives markets, a leading electronic fixed income trading platform, and the largest centre for debt and funds listings globally.

The Group offers a wide range of products including equities, FX, ETFs, bonds, derivatives, commodities, and advanced data services. It provides clearing through Euronext Clearing and custody and settlement services via Euronext Securities in Denmark, Italy, Norway, and Portugal. Euronext also offers technology, corporate, and data services to third parties.

Your profile:Masters degree, ideally in Mathematics, Engineering or Computer Science with a solid foundation in finance and strong business knowledgeFirst experience with in indexation, portfolio construction, financial products development or trading is a plusFirst experience with IT systems and operational processes is a plusFirst experience in sales and relationship management is a plusAdvanced skills in Python and Excel are requiredKnowledge of database organizations, data flows and SQL queriesWorking knowledge of market data sources (Bloomberg, Reuters, Factset)Professional proficiency in English is requiredProactive, hands-on mindset with a strong sense of initiative and ownershipCustomer-oriented with a commercial mindsetStrong team spirit with a commitment to delivering high-quality results