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Senior Credit Risk Reporting Analyst – Private Individuals
ING
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted Oct 26
About this role
ING Hubs Poland is hiring! The expected salary for this position: 9 600– 18 000 PLN The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations. We are looking for you if you have: A 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. The ability to translate data into clear insights and reporting solutions. A strong interest in further developing your Credit Risk expertise. Professional proficiency in English. You'll get extra points for: Experience with mortgage, consumer finance or other retail portfolios . Good knowledge of CRR III and IFRS9 concepts. Experience with Power Query or other data transformation tools. Experience within banking or financial services. Your 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. Information about the squad: We are looking for a Credit Risk Reporting Analyst to join the Private Individual Reporting Squad within CoE Reporting and RiskHub Poland. The squad is responsible for Credit Risk Reporting across the Private Individuals portfolio, including mortgage lending, consumer finance and private banking. We combine Credit Risk knowledge with data analysis and hands-on Power BI development. Our work focuses on analysing portfolio developments, understanding the story behind the data and translating reporting needs into clear and effective dashboards. We work in an international environment and offer the opportunity to further develop both Credit Risk expertise and technical reporting skills. The role naming convention in the global ING job architecture will be “Data Scientist III”.