Quant & Analytics Intern - Financial Services Risk Consulting

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.

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 to 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.

• 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.