Data Analyst (Credit Risk Model Data Delivery)

We are looking for you if:

• You have experience in working in the area of financial or credit risk,
• You know SQL very well,
• You know how to program very well in SAS (4GL),
• You can interpret data on your own based on the collected information and assumptions,
• You have an ability to clearly and succinctly express ideas, facts and opinions and express them fluently both in speaking and writing (also in English language), supported by appropriate tools.
• You know how to identify problems, analyzing key information and making connections, in order to find appropriate solutions.
• You can complete tasks and achieves results in an efficient, timely and high-quality manner, with a focus on execution and delivery of targets and KPIs.

English level - B2.

You'll get extra points for:

• Understanding of the credit process at the Bank,
• Experience in working with credit or market risk modeling (PD, LGD, EAD, IFRS9, IRB),
• Ability to analyze and understand the Bank's balance sheet,
• Experience in working with Agile / Scrum,
• Advanced analytical skills,
• Independent, creative and proactive way of thinking,
• Ability to question the status quo,
• Knowledge of techniques used in business analysis.

Additional skills:

• Bash,
• GIT/GitLab,
• Jenkins,
• Confluence.

Your responsibilities:

• preparing data for risk modeling
• data quality analysis
• taking part in tests of data sharing mechanisms
• analysis of internal and external regulations and preparation of functional documentation on this basis
• data analysis and preparation of reports

Information about the squad:

• We are looking for specialists / experts to join the Data Analytics (Chapter) team to support the processes of building risk models and management reports in the area of finance and risk. We combine knowledge of risk modeling and advanced data processing. We have extensive knowledge of the Bank's processes, which enables us to understand and interpret data for the purposes of modeling and reporting the phenomena accompanying these processes. We work in an international environment, we use English on a daily basis (written and spoken). Our work focuses on data analysis and preparing it for reporting and modeling.