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Banking & Finance

Quant & Analytics Intern - Financial Services Risk Consulting

EY
StandortZurich, Zurich, Switzerland
BeginnAug. 2026
Dauer24 Wochen
Pensum100%

Beschreibung

EY is a globally connected professional services firm committed to building a better working world. Its Financial Services Risk Advisory team in Zurich delivers consulting and audit projects across all areas of Risk Management for financial services clients including banks, insurers, clearing houses and private equity. The Quant & Analytics team works with high-profile domestic and international clients on quantitative risk management challenges spanning market, credit, operational and fraud-related risk, as well as sustainability and climate risk. As a full team member from day one, the intern will contribute to real client projects within the Quant & Analytics team. Responsibilities include: building and reviewing quantitative models for market, credit, operational and fraud-related risk; running statistical and quantitative analyses to validate models and presenting results internally, to clients and to regulators via memos and presentations; supporting the audit of quantitative activities including the independent review of clients' internal models; valuing financial products and contracts including structured products and derivatives; analyzing clients' risk management functions and risk appetite against market, credit, liquidity and operational risk regulatory requirements; and supporting non-financial risk engagements in sustainability and climate risk. A dedicated counselor will provide guidance throughout the internship. Recently graduated or currently finishing a Master's degree in a quantitative field such as mathematics, physics, statistics, financial or computational engineering, econometrics, data science or a similar discipline. Genuine interest in financial risk management and in applying quantitative techniques to real risk challenges. Strong analytical skills with the ability to combine methodical rigor and cross-disciplinary thinking. Programming experience in Python, R, C# or VBA is an advantage; exposure to machine learning is a plus, though neither is a strict requirement. Curiosity about innovation and emerging trends such as AI, ML and LLMs in banking and insurance; interest in sustainability is a plus. Excellent written and spoken English is required; German and French are each a strong plus, and any additional language is a bonus. Open-minded, with strong interpersonal skills, initiative and flexibility to thrive in a multinational team. EY offers the chance to build a truly exceptional experience within a globally connected firm. Interns are empowered with the latest technology and work alongside high-performing teams. Coaching and training programs help develop professional skills while building a network of colleagues, mentors and leaders. EY is committed to an inclusive workplace where everyone has equal access to opportunities. Additional benefits and corporate social responsibility initiatives are part of the overall package. The role provides hands-on exposure to a broad range of quantitative risk management challenges and real engagement work with leading financial institutions from day one.

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