Posted by Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations.
2020 Risk Analyst Graduate Program in Wroclaw
Job Description:
While our employees have a wide range of experience, interests and degrees, they also share a dream to develop and achieve their goals. Join us, if you find finance interesting and also if you are:
An open team member able to build a network and an excellent communicator with the ability to listen
Analytical and logical thinking
Confidence in using MS Office software, especially Microsoft Excel
Interested in learning more about risk-related topics
VBA or SQL knowledge can be a plus
Available for 40 hours per week,
Graduate in 2020
Protecting our capital is conducted via following activities:
Explore variety of risk types (e.g. market risk, operational risk, credit risk)
Perform exposure calculation to a wide variety of products and programs across the Bank
Measure and monitor risk, perform advanced analyses on the bank’s position in the industry
Drive continuous enhancement and efficiency improvement
Evaluating risk as part of the Quant team via following activities:
Stochastic calculus, time series analysis and financial modelling
Functional programming (.NET, Python), system engineering, distributed system design & architecture
2-year Full Time Graduate Training Program starts in August.
Our full-time graduate program offers extensive two-year training program during which you will gain diverse knowledge and experiences.
During the first year, we will provide you with on-the-job training covering financial and banking products and services, soft skills and presentation development.
During the second year, we will offer you project management training and a final project kick-off.
If you decide to join the Quant team, you will develop your quantitative and software development skills, including C#, F#, Python programming and financial modelling.