Quantitative Analytics Off-Cycle Intern

Barclays; Paris; Hybride; EUR 27 000 - 33 000; Plein temps

Résumé du poste

Barclays in Paris offers an Off-Cycle Quantitative Analytics Internship for 3-6 months, aimed at postgraduates in Physics, Mathematics, Quantitative Finance, Economics, Statistics, Calculus, Computer Science, or related STEM fields. You will work within Markets Quants on model development, analytics and quantitative guidance for front-office pricing and risk management.

The programme provides real-world exposure, collaboration with traders and risk teams, and potential full-time opportunities

Qualifications

• Postgraduate qualification in a technical discipline such as Physics, Mathematics, Quantitative Finance, Economics, Statistics, Calculus, Computer Science, or other STEM subjects.
• Strong programming abilities in at least one of C++ or Python.
• Excellent problem solving, analytical and communication skills.

Responsabilités

• Develop and apply quantitative models and analytics to support pricing, risk management, and decision making.
• Collaborate with traders, risk and technology teams to implement modelling solutions.
• Conduct research and leverage advanced methodologies to address real-world market challenges.
• Contribute to the design and deployment of high-performance trading and risk systems.

Connaissances

Mathematical skills

Programming skills

Problem solving

Communication skills

Teamwork

English fluency

Formation

Postgraduate degree

Outils

C++

Python

Description du poste

Barclays in Paris offers an Off-Cycle Quantitative Analytics Internship for 3-6 months, aimed at postgraduates in Physics, Mathematics, Quantitative Finance, Economics, Statistics, Calculus, Computer Science, or related STEM fields. You will work within Markets Quants on model development, analytics and quantitative guidance for front-office pricing and risk management.

The programme provides real-world exposure, collaboration with traders and risk teams, and potential full-time opportunities