They are continuously improving their risk management function. Non financial risks like integrity and fraud risk are becoming increasingly important to their bank (as to their regulator).

To get improve their insight into these risks and to take appropriate actions to mitigate these risks, good data is essential. And that good data is what the Risk Data & Modeling grid is delivering.

Within the Non Financial Risk data team, we are currently seeking for an experienced Data Analyst.

Team

The Non Financial Risk data team is part of the Risk Data & Modeling Grid that is primarily responsible for delivering of data for development and calibration of risk models. The team is currently being expanded to about 25-30 persons, spread over 3 teams. Each team has its own Product Owner. The atmosphere within the Non Financial Risk Data team is open and informal, and the team is relatively young and international.

As a team they have an enormous challenge ahead of us in the upcoming 2 years: they have all sorts of regulatory policies that need to be implemented of which the improvement of their Systematic Integrity Risk Analysis (SIRA) is one of the most important ones.

In the same time they need to migrate from their current data ware houses (on Teradata and Hadoop) towards their new Azure environment while they also want to improve their data quality by disclosing directly from the sources and follow the data (lineage) to the report that it is included in. A new way of working for their organization, which they also need to implement.

Responsibilities

As a Data Analyst you are – together with the product owner – the link between business and IT. You are responsible for requirements gathering, analysis and management and you translate them together with your colleagues into technical designs which can then be further developed by other colleagues from your scrum team into working code.

In their world they often speak of data requirements next to business requirements; what data is needed to be able to comply to a certain regulation? That is something they jointly do with Compliance and it serves as input for correct sourcing so they are able to transform this data with the right business rules and logic into a useable report or dashboard. And so they contribute to the bigger goal of making their Risk department more data driven..

You have an important role in ensuring that the team can progress, support the product owner in identifying those tasks that have most value ánd you have a lot of contact with various stakeholders (data owners and data users) within the bank. 

Qualifications

• You have an academic education;
• Experience and knowledge of different coding languages (SQL, Python);
• You are experienced with gathering and making functional requirements and can translate them into a (high level) technical design;
• You can demonstrate experience with analyses of large datasets and in depth knowledge of large scale data modeling;
• Knowledge and experience with Data related to Financial Crime, Fraud, Anti Money Laundering is a pre;

NOTE: For this role we can only consider people that are Europe area based (We will not relocate from outside Europe – due to Corona). They will be able to offer sponsorship to those that already hold an Highly Skilled Migrant status in the Netherlands.