Developing & documenting/ reviewing & enhancing credit risk methodologies (eg. IFRS 9, AIRB, stress tests) and models (PD, LGD, EAD, credit scoring models)  Carrying out projects related to model validation or performance assessment/ monitoring  Responding to ad-hoc analysis requests, demonstrating clear understanding of risk specific measurements  Reviewing & providing best practice guidance on credit risk governance, credit risk policy and procedure framework 

Building and maintaining strong relationships with new and established clients

Employer requirements: Fluency in German (C1) an English(B2) Completed or soon-to-be-completed higher education in the field of mathematics econometrics, statistics, finance or computer science  Applied and proven knowledge of statistics  Practical knowledge of credit risk modeling concepts  Profound knowledge working with Microsoft Office Suite (especially PowerPoint / Excel)  Interest in topic development and  availability for occasional business travel to Germany  Willingness to learn new skills  Proactive and problem- solving character  Open, proactive, and honest communication style   Structured and self-organized work approach with high quality of results  Nice to have:  Experience in the financial sector (e.g., banking, insurance), 

Knowledge of programming languages (C#, Python, SQL, R, Matlab, SAS)

We offer: hybrid working model, flexible start of the day, workation, sabbatical leave medical care package 3 paid hours for volunteering per month full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops stable employment condidtions with competitive remuneration