Quantitative Risk Analyst (gn)

ProCredit. We are an international group of development-oriented commercial banks for micro, small and medium enterprises (MSME). We are active in Southeastern and Eastern Europe, South America and Germany. Our overarching goal is to combine a high developmental impact with economic success. This position is based in Frankfurt am Main at ProCredit Holding, the listed parent company of our banking group.

For our Group Credit Risk Management team, we are seeking a motivated

Quantitative Risk Analyst (gn)

The Group Credit Risk Management team is responsible for assessing and managing the ProCredit group’s Credit Risk arising from lending to our target group of MSMEs and private individuals. The team’s overall responsibilities include defining the group credit risk management framework, assessing the credit risk for individual loan exposures, monitoring and assessing the portfolio development, and quantifying credit risk.

As member of the Group Credit Risk Management team, you will be directly involved in quantification of credit risk, by:

1. Supporting the development and improvement of tools to quantify credit risk, analysing its results and proposing appropriate measures
2. Supporting projects related to credit risk quantification, including data infrastructure and quality
3. Collecting and processing the data, performing the analysis, delivering reports and presenting key findings, and whenever possible, recommending mitigation measures
4. Following regulatory requirements and adapting processes and reporting as needed in a timely manner
5. Supporting the group credit risk management team in the continuous development and optimisation of credit risk controlling processes

1. A degree in a quantitative discipline (e.g. Finance, Economics, Mathematics, Statistics) from a university, including a university of applied sciences
2. Strong analytical skills and the ability to understand and communicate complex relationships and topics
3. Strong critical thinking and analytical skills to identify the strengths and weaknesses of current and alternative solutions, conclusions or approaches to problems
4. Knowledge of empirical methods and experience in the practical application and use of statistical methods
5. Experience in the efficient handling and management of large data sets, databases and data warehouses would be an advantage
6. Knowledge of and practical experience with statistical software packages and programming languages (e.g. Stata, R, Python)
7. Good knowledge of SQL would be an advantage
8. Strong command of written and spoken English
9. Ability to work meticulously both independently and as part of a team

1. A pleasant and open working atmosphere and an international team
2. Flat hierarchies and short decision paths
3. Interesting and challenging tasks and cross-team project work
4. Great location in the Bockenheim district of Frankfurt am Main
5. Company pension scheme
6. Deutschland Ticket (country-wide transportation pass valid on regional trams, busses and trains)
7. EGYM Wellpass (membership valid at a number of gyms throughout Germany as well as for online fitness course
8. Possibility to work remotely 70 days per year