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.
Agile @ 3
Communication @ 5
Project Management @ 5
Reporting @ 5
- 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.
Details
ING Hubs Poland is hiring for a data-focused role within the Credit Risk Model Development team.
The expected salary for this position is 7,100–14,500 PLN gross per month. Financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
Responsibilities
- Analyze data quality results and identify trends, root causes, risks, and improvement opportunities.
- Interpret analytical findings and translate them into meaningful business insights and actionable recommendations.
- Coordinate cross-functional activities and ensure alignment between stakeholders, requirements, and deliverables.
- Gather, challenge, and align business and regulatory requirements with relevant stakeholders.
- Facilitate discussions, drive decisions, and ensure alignment across cross-functional teams.
- Prepare high-quality reports, presentations, and decision materials using Microsoft Office tools.
- Ensure timely communication and reporting to stakeholders.
- Track project progress, dependencies, risks, actions, and deliverables.
- Document methodologies, governance processes, requirements, decisions, and outcomes.
- Continuously challenge existing processes and identify opportunities for improvement and simplification.
- Build and maintain strong working relationships with stakeholders across the organization.
Requirements
- At least 3 years of experience in data analytics, data governance, data quality, risk management, or similar analytical roles.
- Experience working with stakeholders from different functions and locations to solve complex data-related challenges.
- Ability to take ownership of initiatives and manage projects end-to-end, from requirements gathering through implementation and monitoring.
- Strong stakeholder management skills and the ability to navigate environments with multiple priorities and interests.
- Advanced proficiency in Microsoft Excel, PowerPoint, and Word for analysis, reporting, communication, and project management.
- Ability to interpret analytical results and understand their business and regulatory impact.
- A critical mindset and the ability to challenge and improve processes, controls, and ways of working.
- Ownership, accountability, and a proactive attitude.
- Willingness to learn, develop new skills, broaden knowledge, and continuously improve.
Additional Qualifications
- Experience working in a bank, financial institution, or other highly regulated environment.
- Knowledge of credit risk modelling concepts, including PD, LGD, EAD, IRB, and IFRS9.
- Experience with Data Quality, Data Governance, or BCBS239-related initiatives.
- Experience leading cross-functional projects and coordinating complex stakeholder landscapes.
- Experience building management reports, dashboards, or executive-level presentations.
- Experience working in an Agile environment and contributing to continuous improvement initiatives.
Team
Credit Risk Model Development is an international global team of more than 400 risk experts located across Europe, including Amsterdam, Milan, and Warsaw. The team is responsible for developing robust credit risk models embedded in the regulatory environment.
The role naming convention in the global ING job architecture will be “Data Scientist II.”
More jobs at ING
Senior Expert Credit Risk Model Validation
ING · Warsaw, Poland
PLN 207,600-336,000 per year
Senior Credit Risk Reporting Analyst – Private Individuals
ING · Warsaw, Poland
PLN 115,200-216,000 per year
Data Analyst in Risk Reporting
ING · Warsaw, Poland
PLN 115,200-216,000 per year
Senior Data Analyst in Risk Area
ING · Warsaw, Poland
PLN 115,200-216,000 per year
Credit Risk Reporting Analyst – Power BI
ING · Warsaw, Poland
PLN 85,200-174,000 per year
Similar jobs
Performance Engineer
Nvidia · Santa Clara, United States
USD 136,000-270,200 per year
Model Risk Portfolio Analytics & Reporting Specialist
ING · Warsaw, Poland
PLN 156,000-264,000 per year
CRO Manager
Nord Security · Poland
PLN 211,200-301,200 per year
Senior Data Management Professional – Automation Engineer - Economics News
Bloomberg · New York City, United States
USD 110,000-190,000 per year
Senior Data Management Professional - Automation Engineer - Economics News
Bloomberg · Princeton, United States
USD 110,000-190,000 per year
Data Analyst - Transaction Banking
ABN AMRO · Amsterdam, Netherlands
EUR 55,600-79,400 per year
Global Media Partnerships & Creators Campaign Manager, Digital Marketing (FTC)
Vinted · Kaunas, Lithuania, Vilnius, Lithuania
EUR 3,000 per year
Data Scientist Fraud Monitoring
ABN AMRO · Amstelveen, Netherlands
EUR 63,600-90,900 per year