Data Analyst in Risk Reporting

ING Hubs B.V. sp. z o.o. Oddział w Polsce; Warszawa; On-site; PLN 107,000 - 201,000; Full time

Job summary

ING Hubs Türkiye is seeking a Data Analyst to join a Credit Risk Reporting squad focused on mortgage data, testing, reconciliation, and data quality assurance in an international team. The role blends hands-on data analysis with mortgage knowledge and strong English communication.

You will work with business and technical stakeholders to ensure data completeness and accuracy for reporting, contributing to a large-scale transformation within the mortgage domain.

Qualifications

• Master’s degree or equivalent with 2–5 years in data analysis or reporting.
• Hands-on SQL and large datasets experience.
• Knowledge of mortgage products and lending process is a plus.
• Strong analytical and problem-solving skills with attention to detail.
• Proficient English communication.

Responsibilities

• Analyse and validate mortgage and Credit Risk data.
• Perform data reconciliation between sources and identify discrepancies.
• Test completeness, accuracy and consistency of data for Credit Risk reporting.
• Investigate data quality issues and support resolution.
• Document test results and provide evidence of data correctness.
• Collaborate with business and technical stakeholders involved in data and reporting.

Skills

SQL

Python

SAS 4GL

Data analysis

Data validation

Data quality

English (C1)

Communication

Education

Master's degree in Mathematics / Econometrics / CS / Statistics

2–5 years data analysis experience

Tools

SQL

SAS 4GL

Python

Data Warehouse

Job description

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.

Requirements

• Master’s degree in Mathematics, Econometrics, Computer Science, Information Management, Statistics, Finance or alike, and/or equivalent experience of 2-5 years within data analysis or reporting, experience in data analysis, data validation and data quality, hands‑on working experience with SQL and working with large datasets, basic knowledge of mortgage products and the mortgage lending process, strong analytical and problem-solving skills with attention to detail, good knowledge of English (C1 preferred), great communication skills, both verbal and written.

Preferred Skills

• experience with Credit Risk or Risk Reporting
• experience with data reconciliation, testing or data migration
• experience working with mortgage or other lending data
• hands‑on experience with SAS 4GL/Python
• experience with Data Warehouse environments and data flows

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

Information about the team: We are looking for a Data Analyst to join a Credit Risk Reporting squad supporting a large-scale transformation within the mortgage domain. The team is responsible for ensuring that data delivered through the new data environment is complete, accurate and consistent with existing reporting and Credit Risk requirements. Our work focuses on data analysis, testing and reconciliation, investigating differences and data quality issues, and documenting and evidencing the correctness of data. The role combines hands‑on data analysis with an understanding of mortgage products and the business meaning behind the data. We work closely with both business and technical stakeholders in an international environment and use English on a daily basis. The role naming convention in the global ING job architecture will be “Data Management Expert III”.

We’re a global bank with a strong European base, and our more than 60,000 colleagues serve around 38 million customers and corporate clients in over 40 countries. Joining ING means working with friendly and collaborative people towards making a positive impact on people and planet. We believe in empowering the people around us and our customers to stay a step ahead. Working here means having the autonomy to drive progress, helping to create superior customer value and contributing to our ambition of putting sustainability at the heart of everything we do. Here, we’re more than just a workplace – we’re a community of innovators, problem‑solvers, and forward‑thinkers, dedicated to making a real impact. Whether you’re just starting your career or seeking the next big challenge, we have opportunities that will inspire and push you to grow.