Data analyst in credit risk reporting

ING Hubs Poland; Warszawa; On-site; PLN 107,000 - 201,000; Full time

Job summary

ING Hubs Poland ищет аналитика данных в команду кредитного риска и отчетности по ипотеке. Вы будете анализировать и валидировать данные, обеспечивать их полноту и соответствие требованиям, проводить тестирование и документировать результаты для аудита и регуляторных отчетов.

Требуется уверенное владение SQL и опытом работы с большими наборами данных, базовое знание ипотечных продуктов, а также отличные коммуникативные навыки на английском (C1).

Qualifications

• Master’s degree in a relevant field or 2–5 years of data analysis experience.
• Hands-on SQL experience with large datasets.
• English proficiency at C1 and strong communication skills.

Responsibilities

• Анализировать и валидировать данные по ипотеке и рискам кредита.
• Проводить сверку данных между источниками и выявлять расхождения.
• Тестировать полноту, точность и согласованность данных для отчетности по рискам кредита.
• Исследовать проблемы качества данных и поддерживать их решение.
• Анализировать данные с технической и бизнес-точек зрения и объяснять различия.
• Проводить тестирование и валидацию данных.
• Документировать результаты тестирования и выводы, приводить доказательства корректности данных.
• Сотрудничать с бизнес- и техническими стейкхолдерами в процессах данных и отчетности.

Skills

SQL

Data analysis

Data quality

Attention to detail

English (C1)

Education

Master’s degree or equivalent experience

Tools

SAS 4GL/Python

Data Warehouse

Job description

Описание:

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.

Задачи:

• 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

Требования:

• 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‑ons 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

Будет плюсом:

• 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

Условия:

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.