Company description :
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Job description :
What if your career could have a lasting impact on you, and on the world?
Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.
The exceptional EY experience. It's yours to build.
The opportunity : your next adventure awaits
Our Consulting business offers a broad range of functional and cross-country services dedicated to providing high-value and trusted advice to clients, with a specific focus on business transformation programs in the Financial Services industry.
What we look for
- You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
- You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
- You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.
Qualifications :
A Master of Science or PhD in a quantitative field (mathematics, physics, statistics, financial or computational engineering, econometrics)A strong interest in financial risk management and / or applying advanced analytical methods like machine learning in the financial risk management worldGood knowledge of programming or DB languages like VBA, Matlab, Python SQL, R and C # (or other) allowing you to analyze data, implement quantitative algorithms and develop solutionsGood knowledge of a development environment and experience implementing predictive models and machine learning is a plusFluent in German and EnglishExcellent interpersonal and communication skills and the ability to demonstrate initiative and a flexible working style within a multi-national teamWhat’s in it for you
International multi-cultural team of highly motivated professionalsContinuous personal development with a steep learning curve – a system of trainings, mentoring, counselling and on-the-job learningModern working environment and equipment, fostering mobile working flexibilityTransparent performance-based recognition and progression systemAcquire a fully accredited corporate MBA (EY Tech MBA) from Hult International Business School, whilst working with EY, completely freeWhat you can expect
Consulting engagements where you will support our clients (financial institutions ranging from leading global market players to more regional focused institutions) in financial risk management related challenges ranging from the review or development of firm wide quantitative models for measuring various risks like market risk, credit risk, operational and fraud related risks to the valuation of complex derivatives incl. applying advanced analyticsSupport audit mandates where you will support our audit teams in the areas of the valuation of financial products and contracts / physical assets and validation of all kind of risk related modelsDeveloping your technical and social skills in particular through internal and external training opportunities incl. obtaining professional degrees like GARP ERP or FRMIf you can demonstrate that you meet the criteria above, please contact us as soon as possible. Make the next step and apply for this position online. For further information please contact our recruitment team ([email protected] / +41 58 286 33 66).