Data Analyst in Risk Reporting

at ING

📍 Warsaw, Poland

PLN 115,200-216,000 per year

MIDDLE

✅ On-site

✅ Visa Sponsorship

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. 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;

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.

Communication @ 6 Data Analysis @ 3 Mathematics @ 3 Python @ 3 Reporting @ 5 SQL @ 3 Statistics @ 3

Details

ING Hubs Poland is hiring a Data Analyst to join a Credit Risk Reporting squad supporting a large-scale transformation within the mortgage domain. The team ensures that data delivered through the new data environment is complete, accurate, and consistent with existing reporting and Credit Risk requirements. The role combines hands-on data analysis with an understanding of mortgage products and the business meaning behind the data. The team works closely with business and technical stakeholders in an international environment and uses English daily.

Responsibilities

Analyse and validate mortgage and Credit Risk data.
Perform data reconciliation between different data sources and identify discrepancies.
Test the completeness, accuracy, and consistency of data used for Credit Risk reporting.
Investigate data quality issues and support their resolution.
Analyse data from both a technical and business perspective to understand and explain identified differences.
Prepare and execute data testing and validation activities.
Document test results, identified issues, and conclusions, and provide evidence of data correctness.
Collaborate with business and technical stakeholders involved in data and reporting processes.

Requirements

Master’s degree in Mathematics, Econometrics, Computer Science, Information Management, Statistics, Finance, or a related field, and/or equivalent experience.
2–5 years of experience in data analysis or reporting.
Experience in data analysis, data validation, and data quality.
Hands-on experience with SQL and large datasets.
Basic knowledge of mortgage products and the mortgage lending process.
Strong analytical and problem-solving skills with attention to detail.
Good command of English; C1 is preferred.
Strong verbal and written communication skills.