Quant Intern (H2 2026)

The Quant Intern is responsible for building quantitative models, financial/statistical tools, and engineering data-driven applications that support trading workflows. This role requires strong mathematical, coding, and problem-solving abilities.

• Develop financial, statistical, and machine-learning models.
• Conduct quantitative research and backtesting on large datasets.
• Build Python applications and automated data pipelines.
• Optimise and refactor existing systems for performance and reliability.
• Validate model assumptions and prepare documentation.
• Integrate models into dashboards or internal tools.
• Troubleshoot technical issues across data, modelling, and code.
• Collaborate with analysts, traders and engineers on various tasks as needed.

• Strong proficiency in Python and SQL.
• Solid understanding of stati...