What does this job entail?

The credit risk data hub in Belgium is seeking a data analyst for their location in CSOB Prague.

Within the financial sector there is more and more pressure to ensure data is of sufficiently high quality and that it is consistent across systems and reports. This is particularly the case in the heavily regulated and supervised area of credit risk modelling. The European Central Bank (ECB), as well as internal validation and audit, continue to increase the requirements and expectations on data quality. Consequently, there is a great need for centralizing and automating the data collection process to the highest extent possible.

As a data analyst for credit risk modelling within the Group Credit Risk Directorate, you will in a first instance support the functional analysts in streamlining and standardizing the data collection processes with the goal to strengthen the consistency and quality of the data we collect for model validation purposes. In particular, you will support the implementation team with data investigations needed for improving the data collection pipelines as well as dive deep into all KBC IT systems and available data in order to build up the historical database. On the longer term, you will become responsible for maintaining and monitoring the data quality of all data flows towards and within our database. You will also further support our advances in straight-through-processing, e.g., setting up automated processes for data quality monitoring, quantifying the impact of data quality issues on further processes and data flows, etc.

The team you join is particularly diverse, gender-wise, nationality-wise and age-wise, and it is spread across offices in Belgium (Ghent, Leuven, Brussels), Czech Republic (Prague) and Bulgaria (Sophia). You will work with junior colleagues, as well as more experienced colleagues. Diversity is a great strength in our team.

Has your interest been sparked? Are you enthusiastic to join our team in investigating and improving data quality and becoming our go-to person for all data-related questions? 

What do we expect from you? 

• You have a keen eye for detail and you are passionate about data. You are not afraid of diving deep into the data, and data related documentation, to figure out the source(s) for the observed data quality issue(s).
• You will build up your knowledge on all KBC credit-related IT systems and its data flows. You become a data expert within the team such that you can support your colleagues with all data-related topics.
• Investigating data quality issues will bring you into contact with lots of different people and teams within the organization, e.g., application managers, credit analysts, credit advisors, model users, relationship managers, risk managers, modelers and validators from all KBC entities, … As such, you are an excellent communicator and you are able to adapt  your communication style depending on whom you are contacting.
• You are able to think along with all relevant stakeholders in how to structurally improve data quality for all flows in the credit risk modelling database and you work alongside the implementation team in setting up automated processes to detect issues and monitor data quality in all data flows.

Your key strengths? 

Your strengths

• You have strong analytical skills and excellent communication skills.
• You speak and write fluent English.
• You enjoy working with others in a pragmatic way. You are always happy to celebrate the successes as a team.
• You properly deal with deadlines and work results-oriented.
• You are willing to learn all about credit-related business processes and/or IT processes and applications within KBC. If you already have some knowledge or notions on such processes in the context of the financial sector or KBC in particular, this is definitely a plus.

Your education and background

• A master’s degree is advantageous but not required.
• You are confident in your Python programming skills (numpy, pandas, matplotlib) and know how to use Git.
• Ideally, you have experience with Confluence and Jira. If not, you are happy to quickly learn.

What do we offer you? 

• A very attractive offer of education and development opportunities.
• Diverse career opportunities.
• A competitive salary package, supplemented with a vast package of advantages and personnel conditions on our bank and insurance products.
• A good work-life balance.
• A dynamical working environment with an open culture and a pleasant working atmosphere.
• A pleasant and modern working space right next to Radlická metro station in Prague.