Quantitative Finance Associate Off Cycle Internship

• Support the day-to-day operations of the Quantitative Analytics (QA) group by providing analytical insights and expertise
• Application of the latest quantitative techniques to solve business problems, research, development, and implementation of new models and solutions and improve the bank’s computing and data infrastructure
• Collaboration with cross-functional teams and senior management to progress business initiatives
• Participation in training and development programmes to enhance skills and knowledge
• Conduct research to support strategic decision making, prepare presentations and reports to communicate research findings, and collaborate with senior management to implement research findings
• Design, development of the quantitative research framework using domain specific languages
• Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products
• Training and mentoring of junior colleagues
• Participation in quantitative research, technical design and development of our global team’s quantitative research systems and algorithmic trading stack

• Postgraduate qualification (Master’s degree or higher) in a technical discipline such as Physics, Mathematics, Operations Research, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects
• Strong programming skills, particularly Python, C++, or Java
• Great at communicating and collaborating
• Driven to identify the best solution to a problem and then motivated to deliver that solution at pace
• Ready to develop a deep understanding of what we do, why we do it, and how your role impacts our business outcomes
• Fluent in English and French

Desirable in German, Italian, Spanish

• Paid holiday and vacation
• Competitive pay
• Private medical care
• Disability assurance
• Flexible working
• Life assurance
• Voluntary benefits
• Retirement planning