Tech Stack
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About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
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BI @ 4
DAX @ 4
Data Analysis @ 4
IFRS @ 4
Power BI @ 4
Reporting @ 4
SQL @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
ING Hubs Poland is hiring a Credit Risk Reporting Analyst to join the Private Individual Reporting Squad within CoE Reporting and RiskHub Poland. The role focuses on Credit Risk Reporting across the Private Individuals portfolio, including mortgage lending, consumer finance, and private banking. The global ING job architecture title for this role is “Data Scientist III.”
Responsibilities
- Develop and maintain Power BI dashboards and reporting solutions for Private Individuals Credit Risk.
- Work closely with Credit Risk stakeholders to understand and translate their reporting needs.
- Work with key Credit Risk concepts and metrics, including IRB PD, LGD, EAD, and IFRS 9.
- Use SQL to retrieve, analyse, and prepare data.
- Ensure the quality, accuracy, and consistency of reported information.
- Contribute to the automation, standardisation, and continuous improvement of reporting.
Requirements
- Bachelor’s or Master’s degree in a relevant field.
- Relevant experience in Credit Risk, risk reporting, or data analytics.
- Good understanding of Credit Risk principles and concepts.
- Hands-on experience with Power BI, including data modelling and DAX.
- Good knowledge of SQL.
- Strong analytical and problem-solving skills.
- Ability to translate data into clear insights and reporting solutions.
- Strong interest in further developing Credit Risk expertise.
- Professional proficiency in English.
Preferred Qualifications
- Experience with mortgage, consumer finance, or other retail portfolios.
- Good knowledge of CRR III and IFRS 9 concepts.
- Experience with Power Query or other data transformation tools.
- Experience within banking or financial services.
Work Environment
The squad works in an international environment and combines Credit Risk knowledge with data analysis and hands-on Power BI development. Its work focuses on analysing portfolio developments, understanding the story behind the data, and translating reporting needs into clear and effective dashboards.
Compensation
The expected salary for this position is 9,600–18,000 PLN per month. The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.