Do you like a job with plenty of variety? Are you interested in data, programming, Risk processes and stakeholder management? Do you want to work in a dynamic and multidisciplinary project team that is working on clear deliverables and are you keen to share your knowledge? If so, take a look at the vacancy of Modelling Data Analyst (Credit Risk)!
We are constantly looking for ways to improve to manage our risks. Risk Models play a pivotal role in this. These models rely on accurate data. In the so-called ‘Future Model Landscape’ Program, you will be part of the Data Remediation Team. This multidisciplinary team (with representatives of the Restructuring department, Business Lines, Modelling and Modelling Data Team), is responsible to deliver remediated historical data for model redevelopment purposes. The team retrieves the data from (historical) databases, out of credit systems and will ask business and restructuring knowledge to interpret and improve the data to make it fit for model redevelopment activities.
As a member of the Data Remediation Team, you supply Credit Risk Modelling with the data they need to compile risk models. On one hand your duties will consist of technical aspects such as SAS/ SQL and Python programming, performing Data Quality analyses and integrating datasets. On the other hand you’ll be working on documentation and using your communicative skills for stakeholder alignment. You also play an active role in the frequent team meetings where knowledge-sharing and transparency on progress is key.
Your ability and willingness to work with others is crucial for your success in this role. You are naturally someone who takes initiative, structures and organises work well and is keen to work with others to deliver tangible results. You are practical, have an analytical approach and good communication and presentation skills. You are a strong team player and you take responsibility for your work. In the dynamic environment in which you operate, you have the ability to get all stakeholders on board. You also have the following qualifications and skills:
- Experienced (5+ years) in working with data related to credit risk models;
- a Master’s degree, preferably a beta study;
- highly skilled in SAS Enterprise Guide, SQL and Python;
- the ability to detail and challenge data requirements;
- knowledge of risk management in banking or financial institutions is an advantage;
- excellent verbal and written communications skills in English;
- excellent stakeholder management skills.
Laat je contactgegevens achter zodat wij jouw interesse verder kunnen bespreken.
Interim Valley is een detacheringsbureau uit Amsterdam dat in 2012 is opgericht door Ruben Verkuijl en Diederik Veenhoven en inmiddels is uitgegroeid tot meer dan honderdvijftig medewerkers.
Vijftien van deze medewerkers zijn gevestigd op het kantoor van Interim Valley en overige medewerkers zitten bij de klanten. Interim Valley ondersteunt organisaties bij de invulling van posities binnen Compliance, Data Analytics, Trade Finance en Risk & Lending in de financiële sector.