Data Analyst for Credit Risk Data Solutions

Znalezione w: beBee S PL - 4 tygodni temu


Warszawa, Polska ING Pełny etat

We are looking for you, if you:

have higher education (preferred: econometrics, quantitative methods, mathematics, physics, computer science, economics),

have 3 years of experience in working with data and their analysis using quantitative methods,

have the ability to analyze internal and external regulations and prepare functional documentation on this basis,

know SQL very well,

can work in a team and share knowledge with colleagues,

can create data models that allow the integration of data from various sources,

can interpret data on your own based on the collected information and assumptions,

take initiatives that have a positive impact on the quality and accuracy of the tasks performed,

know English well.

You'll get extra points for:

programming very well in SAS (4GL / SAS DI / SAS EG),

experience in modeling and machine learning,

understand what the credit process at the Bank looks like,

experience in working with credit or market risk modeling (PD, LGD, EAD, IFRS9, IRB),

the ability to analyze and understand the Bank's balance sheet,

knowledge of Python and R,

ability to work in Agile / Scrum,

advanced analytical skills,

an independent, creative and proactive way of thinking,

ability to challenge the status quo,

knowledge of techniques used in business analysis,

Azure,

GIT/GitLab,

Python/R.

Your responsibilities:

data analysis and preparation of BI reports,

preparing data for risk modeling,

analysis of internal and external regulations and preparation of functional documentation on this basis,

data analysis in terms of quality and suitability for the building / monitoring of risk models,

preparation of data and data sharing mechanisms for the purposes of building reports and/or building risk models,

data quality analysis,

taking part in tests of data sharing mechanisms.

Information about the squad:

We are looking for specialists 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.

The role naming convention in the global ING job architecture will be “Data Scientist III”.


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