Credit Risk Model Data Analyst
Credit Risk Model Data Analyst
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Job Description
ING Hubs Poland is hiring!
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.
Youll 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)
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
GIT
Azure DevOps
Confluence.
Your responsibilities:
preparing data for risk modeling
data quality assessment and root cause analysis
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 Wholesale Banking Credit Risk Model Data team to support the processes of building datasets for 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 Banks 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 II.
Required Experience:
IC
Employment Type
Full-Time
