EY is seeking a talented Quant & Analytics Intern for their Financial Services Risk Advisory team in Zürich. The role involves supporting advisory and audit engagements with financial institutions, developing quantitative risk models, and applying innovative analytical techniques. Ideal candidates are recent graduates or master's students in quantitative fields with strong programming skills and interest in financial risk management.
As an intern, you will support advisory and financial risk management engagements by reviewing and developing quantitative models for measuring various risks such as market, credit, operational, and fraud-related risks. This includes valuating financial products, applying advanced analytics techniques like AI/ML, robotics process automation, and blockchain, and analyzing risk management functions.
Candidates should have recently graduated or be completing a master's degree in quantitative fields like mathematics, physics, statistics, financial or computational engineering, or econometrics. Strong programming experience in Python, R, C#, or VBA is essential, along with a curiosity for innovation and applying quantitative techniques to solve risk management problems.
EY offers an international, multicultural team environment with opportunities for personal development, including training, mentoring, and on-the-job learning. The role provides a modern working environment with mobile working flexibility, transparent performance recognition, and a steep learning curve for professional growth.
