Job Detail

Your field of responsibility

QAT is a team located globally, responsible for modelling complex financial instruments within Credit Suisse. Those models are used daily by traders for pricing potential transactions, risk teams to evaluate existing positions and IT systems to manage and fulfil various back-office responsibilities.
Our QAT Academy Program is a 2-year rotation program, running in our Zurich office. The program is open to PhD or Masters graduates in quantitative fields such as Mathematics, Physics, Engineering, Computer Science, Statistics, Machine Learning, Artificial Intelligence, Data Science, Economics, Econometrics, Operations Research and Quantitative Finance. The program offers a unique training opportunity and valuable hands-on experience in the areas of quantitative finance within the banking industry.
The QAT Academy Program consists of 2 (12 months) or 3 (8 months) assignments in different quantitative areas. Team members will have an outstanding opportunity to acquire both financial and technical skills through a combination of on-the-job learning, business focused projects, and in-house training run by the Quantitative Analysis and Technology Group. At the end of the assignments, the candidates will be able to present the results of their individual projects to the senior management.

Your future colleagues

You will join the team bringing together specialists who create, unify and improve quant processes within the bank. As a member of this multifaceted and innovative team you will work closely with risk managers, model developers and software engineers and business management delivering strategic solutions. We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firm’s D&I ambition which is an integral part of our global cultural values.
 

Your skills and experience

You’ll be a good match, if you have: 

• Strong analytical and problem solving skills as well as a pragmatic and solution-oriented working style


• Solid technical skills and ability to implement risk models and algorithms as part of an international team


• Knowledge in mathematics, e.g. stochastic calculus, statistics, probability theory and time series analysis


• Programming / software development experience in either C#, F#, C++, R, Python 


• Pro-activeness and achieving significant results


• Ability to build strong relationships as supportive and adaptable team member


• Principled and committed behavior to the highest standards


• Fluency in English as well as good communication and presentation skills are a must have


• Prior knowledge of finance and a genuine curiosity of the financial markets is desirable


• Enthusiasm for quantitative models and concepts, and willingness to learn new things


• You understand the value of diversity in the workplace and you are dedicated to fostering an inclusive culture in all aspects of working life so that people from all backgrounds receive equal treatment, realize their full potential and can bring their full, authentic selves to work

*LI-CSJOB*
Mr. Payer would be delighted to receive your application.
Please apply via our career portal.

Your new employer

Find a new home for your skills, ideas, and ambitions. Credit Suisse offers you the ideal environment to progress your career, attractive benefits and excellent training.

We are a leading wealth manager with strong global investment banking capabilities founded in 1856. Headquartered in Zurich, Switzerland, and with more than 45,000 employees from over 150 nations, we are always looking for motivated individuals to help us shape the future for our clients.

Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success. We are committed to building a culture of inclusion with a deep sense of belonging for all of us. We will consider flexible working opportunities where possible. Our bank provides reasonable accommodations to qualified individuals with disabilities, as well as those with other needs or beliefs as may be protected under applicable local law. If you require assistance during the recruitment process, please let your recruiter know.