Our Financial Services Risk Advisory team at EY is responsible for consulting and audit projects across various areas of Risk Management for Financial Services clients, including banks, insurance companies, clearing houses, and private equities. Join our dynamic department in Zürich to tackle complex challenges and contribute to the future of the financial services industry. At EY, you will have the opportunity to advance your career in a supportive and inclusive environment, leveraging global resources and technology to enhance your professional growth.
Tasks
- Engage in impactful projects from day one within the Quant & Analytics team, gaining exposure to a wide range of quantitative aspects of risk management.
- Support advisory as well as financial and regulatory audit engagements with leading financial institutions in risk management.
- Review and develop quantitative models for measuring various risk types, including market risk, credit risk, operational and fraud-related risks.
- Perform statistical and quantitative analysis to validate models and present results internally, to clients, and to regulators via memos and presentations.
- Valuate financial products and contracts, gaining an overview of trends in structured products and derivatives, valuation techniques, and their industry application.
- Analyze the risk management function and risk appetite of clients, assessing adherence to market, credit, liquidity, and operational risk regulatory requirements, and establishing processes for effective model application.
- Design and establish AI governance and risk management frameworks in financial institutions, considering regulatory guidance, fostering innovation, and identifying and measuring AI-related model risks.
- Support non-financial risk engagements in sustainability and climate risk, integrating these into existing risk frameworks.
- Receive guidance from a counselor throughout your career development.
Requirements
- MSc or PhD in a quantitative field (mathematics, physics, statistics, financial or computational engineering, econometrics).
- 1-3 years of relevant professional experience in a consulting environment, financial risk management team, or model development/validation team in the financial industry (optional).
- Strong interest in financial risk management and proven experience in applying new and classical quantitative techniques to solve risk management problems.
- Profound analytical skills and ability to combine method, rigor, and transversal skills.
- Programming experience in languages such as Python, R, C#, or VBA is an advantage.
- Curiosity about innovation and new trends (such as AI, ML, LLM, and sustainability) in the banking and insurance sector.
- Excellent written and oral communication skills in English and German (French is an advantage).
- Skilled at explaining and simplifying complex topics for different audiences.
- Open-minded, with excellent interpersonal and communication skills, initiative, and a flexible working style in a multinational team.
Benefits
- Empowerment with the latest technology and high-performing teams.
- Coaching and training programs to develop necessary skills.
- Opportunity to build a network of colleagues, mentors, and leaders.
- Inclusive workplace with equal access to opportunities.
- Support for accommodations during the recruitment process.
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Über uns
Das Team
Work with a diverse portfolio of high-profile domestic and international clients across all areas of financial risk in a multinational team. You will be supported by a counselor who will guide you throughout your career development.