Wholesale Banking Model Data Analyst Expert

Description

ING Hubs Poland is hiring!

The expected salary for this position: 13 000 - 22 000 PLN gross.

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

As a Wholesale Banking Model Data Analyst you will be responsible for data and portfolio related topics in one of the squads in Wholesale Banking Model Data Team. The Data Team is responsible for E2E data solutions for various IRB and IFRS9 projects, covering entire model life cycle needs. Being the main point of contact for data delivery projects for Wholesale Banking portfolios will allow you to deep dive into portfolio and model specifics across different Rating Systems in Wholesale Banking domain. You will closely cooperate with model owners and model development teams on various regulatory projects in credit risk area.

You will gain knowledge about data we collect in ING Group, analyze it and prepare prototypes of new data structures that will be used further in the process. We have expertise about Rating Systems, Wholesale Banking portfolios and stakeholder needs on different model lifecycle phase. As a Wholesale Banking Model Data Analyst you will have crucial role to play in delivering high quality data to other participants of risk processes (i.e. credit risk modelers, validators and many others).

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.

Responsibilities

• 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.
• 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.
• Information about the team:
• Credit Risk Model Development is an international, global team (more than 400 risk experts) located in different locations in Europe (e.g., Amsterdam, Milan, Warsaw). The key responsibility is development of robust credit risk models firmly embedded in the regulatory environment.
• The role naming convention in the global ING job architecture will be "Data Scientist IV”.