Quant & Analytics Intern – Financial Services Risk Consulting
EY · Zurich
Description du poste
About the role
EY's Financial Services Risk Advisory team delivers consulting and audit projects across every area of risk management for banks, insurers, clearing houses and private equity. It is looking for a Quant & Analytics Intern to join its Zurich office. The intern contributes to advisory work and to the independent audit of quantitative activities, such as the review of internal models, and works alongside a dedicated counselor.
Key responsibilities
- Build and review quantitative models for market, credit, operational and fraud-related risk, run statistical and quantitative analyses to validate them, and present results to clients and regulators through memos and presentations
- Support the audit of quantitative activities, including the independent review of clients' internal models
- Value financial products and contracts, covering trends in structured products and derivatives and their valuation techniques
- Analyze clients' risk management function and risk appetite, and assess compliance with market, credit, liquidity and operational risk regulatory requirements
- Support non-financial risk engagements in sustainability and climate risk
Required profile
- Recent graduate or finishing a Master's in a quantitative field such as mathematics, physics, statistics, financial or computational engineering, econometrics, data science or similar
- Genuine interest in financial risk management and in applying classical and modern quantitative techniques to real risk challenges
- Sharp analytical mind combining method, rigor and cross-disciplinary thinking
- Excellent written and spoken English; German and French are a strong plus, other languages a bonus
- Open mind, good interpersonal skills, and the initiative and flexibility to thrive in a multinational team
Required skills
- Programming in Python, R, C# or VBA is an advantage; exposure to machine learning is a welcome plus, though neither is required
- Curiosity about AI, ML and LLMs in banking and insurance; an interest in sustainability is a plus
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