Student Support Staff (part time) - Risk Methods and Analytics (m/f)

The department Risk Methods and Analytics uses statistical and mathematical methods to develop predictive models used primarily in credit risk management. Team members have diverse numerical backgrounds ranging from mathematics and statistics to business with a strong quantitative focus. Typical applications are development of credit rating models, macro-economic stress testing models or economic capital models. Additionally, we use our predictive modelling competence on a number of partly big datasets to develop decision models for a wider range of business problems. Key success factors in our modelling projects are analytic skills, fast understanding of the business context and project execution.