The bank is currently reshaping it's risk models and this is important to optimize our capital position, balancing the risks of our lending activities.

The ECB/DNB sets strict standards to develop, maintain and implement our risk models. Especially regarding the data that we use as input for the Risk Models. They expect us to use historical and present data, which reflect a realistic view on our historical and current client portfolio. With a high quality and with a high level of track and traceability. All this, to prevent banks from taking too much risks eg by minimizing their reserves.

As remediation department, we need to arrange data that can be used for risk modelling. This data is often of insufficient quality. We need to make it better by sourcing it, checking the data quality and subsequently enrich, correct and calculate additional data elements.

Our goal is of course to help optimize our capital position, heavily impacting our financial results. Your work will therefore be of high value for the bank in achieving its financial ambitions.

Your job

You are a data engineer in a team makes sure all data from (historical) data bases is made available, is checked on quality and is properly integrated in our Data Vault based Data Model (RDM) for future use by remediators and risk modellers. The team also works on further development and maintenance of our RDM and the embedding of this model within the rest of our Data architecture.

As data engineer, you are onboarding and integrating data in our RDM and constructing datasets for our consumers. Also, you construct Data Quality checks and analyse their results. Last but not least, you spot chances for improvement to our technical way of working and also implement these improvements.

Working environment

You will work in a multidisciplinary team with in- and external professionals. Work hard play hard is our motto. The data field is becoming more and more important within the bank, you will be a frontrunner in this field. Deadlines can sometimes be challenging, quality standards are high.

Our team consists of data professionals, eager to learn. Some experienced, some in the beginning of their careers.

You cooperate with business experts, Risk Modelling experts, Data Owners and IT specialists.

Your profile

You are skilled in:

Data engineering, Datamodelling and data analysis

SQL and Python (Pyspark), Databricks

Stakeholder management

Team cooperation

Creative thinking

Knowledge of credit and/or risk processes is a pre

Knowledge of the Data Vault Datamodelling technique is a pre

We are offering

Extensive training facilities, competitive remunerations, fun, the feeling of being a frontrunner within the financial sector regarding data.