Data Management Expert III: Risk & Mortgage Reporting

ING Hubs Türkiye

Warszawa

On-site

PLN 107,000 - 201,000

Full time

9 days ago

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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

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.

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