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We would like to support the Wholesale Bank Data Collection Team with insights about data and data processing skills.

You will work with other Analysts from all over the world to understand the data and portfolio specifics.

Minimum Requirements:

1. Minimum 3 years of experience in financial risk or credit risk.
2. Experience with IRB and IFRS9 methodology or regulatory requirements.
3. Experience in analysis of internal and external regulations and preparation of functional documentation.
4. Experience in monitoring and analyzing Wholesale Banking portfolios.
5. Ability to identify risk and knowledge of basic aspects/concepts of credit risk (NPL, forbearance).
6. Experience working with SQL.
7. Ability to define problems, analyze key information, and make connections to find appropriate solutions.
8. Good at establishing plans to determine tasks, priorities, timelines, and identifying resources needed to achieve goals.

You will get extra points if you:

1. Have the ability to conduct sector/financial analysis and knowledge of corporate finance.
2. Have knowledge of the specificity of financial instruments (including derivatives such as SWAP).
3. Have worked in an Agile environment and know how to integrate it into your job.
4. Have experience working in a bank, financial institution, or other government-regulated institution.
5. Have hands-on experience working in a SAS environment (preferably SAS Enterprise Guide).
6. Have hands-on experience in 4GL programming.
7. Have hands-on experience working with Analytical Base Tables (ABTs).

Your Responsibilities:

1. Coordination of data delivery projects across Wholesale Bank portfolios.
2. Analysis of model development and implementation documentation, providing requirements for other parties involved in the data delivery process.
3. Gathering portfolio knowledge, including cooperation with model owners and model development teams.
4. Managing stakeholders and determining all dependencies related to the data preparation process.
5. Being the main point of contact for data delivery projects for Wholesale Bank portfolios.
6. Being the point of contact for Analysts delivering risk data.

Information about the squad:

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

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

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