AI-Driven Market Surveillance Intern

Euronext

Milano

Ibrido

EUR 8900 - 11.000

Part-time

14 giorni+

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Vantaggi offerti da questo lavoro

Gross reimbursement 800€
Ticket restaurant

Descrizione del lavoro

Euronext in Milano is seeking a Market Surveillance Intern to support the integration of AI-driven analytics into our market monitoring processes. You will work alongside senior analysts on live market data and trading systems, while contributing to an innovation initiative exploring how AI can enhance surveillance tools and alerting mechanisms.

Ideal candidates are pursuing Economics, Finance, Computer Science or Engineering, with genuine interest in financial markets and a curiosity for coding

Competenze

  • Degree (or final-year student) in Economics, Finance, Computer Science, Engineering or related disciplines.
  • Analytical mindset and attention to detail.
  • Interest in AI and coding with a willingness to experiment.

Mansioni

  • Support data analysis and simulations for projects across derivative and cash markets.
  • Assist senior analysts with reviewing input parameters in surveillance systems.
  • Analyze and interpret outputs from daily market surveillance reports.
  • Monitor daily exchange notices for dissemination and market impact assessment.
  • Conduct functional and regression testing in simulation environments.
  • Contribute to documentation, process improvements and cross-market initiatives.
  • Support the design and prototyping of AI-driven surveillance tools and alerting logic.

Conoscenze

Genuine interest in markets
AI and coding curiosity
Analytical mindset
Team player
Proactive

Formazione

Economics
Finance
Computer Science
Engineering

Descrizione del lavoro

Euronext in Milano is seeking a Market Surveillance Intern to support the integration of AI-driven analytics into our market monitoring processes. You will work alongside senior analysts on live market data and trading systems, while contributing to an innovation initiative exploring how AI can enhance surveillance tools and alerting mechanisms.

Ideal candidates are pursuing Economics, Finance, Computer Science or Engineering, with genuine interest in financial markets and a curiosity for coding

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