Wholesale Banking Model Data Analyst Expert
Warszawa, Polska
Key offer highlights
Looking for experts - senior/expert
Data: SQL / BI / Python
Full-time
On-site work - no remote option
Description
ING Hubs Poland is hiring!
Nr ref.
REQ-10116393
Spółka
ING Hubs
Kategoria
Data Science
Lokalizacja
Warsaw, Poland
Data publikacji
12/06/2026
Poziom stanowiska
Professional
Your responsibilities
data analysis and data delivery for Wholesale Banking portfolios,
data processing, data quality assessment, and all other tasks related to data,
writing efficient SAS macros programs,
finding discrepancies in the data and proposing solutions to the problems by conducting various analyses in 4GL/SQL,
conducting Data Quality Tests,
gathering requirements regarding modelling datasets from our stakeholders,
creating documentation related to the data (Data Plans and other data documentation required for Model Life Cycle),
checking with Model Owners/Model Developers/Validators whether all the assumptions in the created datasets are in line with their expectations.
You will get extra points for
experience working in a bank, financial institution or other institution regulated by the government,
knowledge about credit risk models (PD, LGD, EAD, IFRS9, IRB),
working in Agile environment, and knowing how to make it a real part of your job,
experience with GIT or other version control systems.
We are looking for you, if you
would like to support Wholesale Banking Model Data Team with insight about data and credit risk methodologies,
would like to work with other Analysts from all over the world on understanding the data, IRB/IFRS9 models and portfolio specifics,
would like to define how the data process flow for Model Development / Model Monitoring / Model validation should look like,
have experience in gathering and analyzing data requirements and, based on them, preparing the data,
have min. 5 years of experience working in the area in data analytics or data science,
have min. 5 years hands-on experience working with SQL and/or SAS (preferably SAS Enterprise Guide),
are able to define problems, analyze key information and make connections, in order to find appropriate solutions.