Quant & Analytics Intern - Financial Services Risk Consulting

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EY’s Quant & Analytics Internship in Zurich offers an immersive start in Financial Services Risk Consulting, combining advisory work and independent audit of quantitative activities for banks, insurers and other clients. From day one you’ll contribute to real projects, building and reviewing models across market, credit, operational and fraud risk, valuing financial contracts, and assessing risk management and regulatory readiness. A counselor supports you. We seek recent master’s grads in a quantitative field with genuine interest in risk management, strong analytical skills, and programming in Python or R (C# or VBA a plus); ML exposure is welcome but not required. English fluency is essential; German or French is a plus. Apply via the EY careers site.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.Our Financial Services Risk Advisory team delivers both consulting and audit projects across every area of Risk Management for financial services clients — banks, insurers, clearing houses and private equity. We're looking for a Quant & Analytics Intern to join our Zurich office.

The opportunity: your next adventure awaits

If you love turning complex data into real-world insight, this is your chance to kick-start a purposeful career, tackle exciting problems every day and help shape the future of the financial services industry. You'll share the responsibility of bringing genuine, measurable value to our clients — supporting both advisory work and the independent audit of quantitative activities, such as the review of internal models. At EY, you'll build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. We're counting on your unique voice and perspective to help make EY even better, too.

Your key responsibilities

From day one, you'll be a full member of the team, contributing to real projects rather than watching from the sidelines. Within our Quant & Analytics team you'll get hands-on exposure to a broad range of quantitative risk management challenges, working with high-profile domestic and international clients across every area of financial risk. Wherever your strengths and interests lie, we'll help you find projects that make the experience genuinely rewarding.Projects you could contribute to:

• Support advisory and regulatory audit engagements with leading financial institutions by:
  • Building and reviewing quantitative models for market, credit, operational and fraud-related risk — running statistical and quantitative analyses to validate models, then presenting your results internally, to clients and to regulators through dedicated memos and presentations.
  • Supporting the audit of quantitative activities, including the independent review of clients' internal models.
  • Valuing financial products and contracts — gaining a full view of the latest trends in structured products and derivatives, the valuation techniques behind them, and how they're applied across different client needs.
  • Analyzing clients' risk management function and risk appetite, assessing how they meet market, credit, liquidity and operational risk regulatory requirements.
• Support non-financial risk engagements in sustainability and climate risk.

A dedicated counselor will guide and support you throughout your internship.

What we look for

• You've recently graduated, or are finishing, a Master's in a quantitative field — mathematics, physics, statistics, financial or computational engineering, econometrics, data science or similar.
• A genuine interest in financial risk management and/or in applying classical and modern quantitative techniques to solve real risk challenges.
• A sharp analytical mind and the ability to combine method, rigor and cross-disciplinary thinking.
• Programming experience in Python, R, C# or VBA is an advantage — and exposure to machine learning is a welcome plus, though neither is a requirement. If you're still building these skills, your motivation to learn matters just as much.Curiosity about innovation and emerging trends (AI, ML, LLMs) in banking and insurance; an 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.
• An open mind, great interpersonal skills, and the initiative and flexibility to thrive in a multinational team.

What’s in it for you

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology and surround you with high-performing teams. Through our coaching and training programs, you’ll develop the skills you need - all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

Inclusion is at the heart of everything we do. We are committed to fostering a workplace where everyone has equal access to opportunities. If you require any accommodation during the recruitment process, we are happy to support you.

Click here to find out more about our benefits and corporate social responsibility.