ING Hubs Poland is hiring!
The expected salary for this position: 13 000 - 22 000 PLN gross.
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
We are looking for you if you have:
- Master's degree in a quantitative field such as Mathematics, Statistics, Econometrics, Data Science, Computer Science, Engineering, Physics, or a related discipline.
- Strong understanding of model risk management concepts, modelling techniques, their applications, and associated risks.
- Proven experience in data analytics, reporting, and portfolio-level risk monitoring.
- Hands-on experience with Python programming, including data manipulation, automation, and analytical workflows.
- Advanced knowledge of data structuring, data modelling, and working with complex datasets from multiple sources.
- Experience with data visualization and dashboard development using Power BI, Tableau, or similar analytical platforms.
- Knowledge of SQL and database concepts; experience with large-scale data processing is considered a plus.
- Experience in designing and implementing automated reporting solutions and process improvements.
- Interest in Artificial Intelligence and emerging technologies, with practical experience applying AI-enabled solutions to reporting, analytics, or operational processes.
- Strong analytical and problem-solving skills, with the ability to translate data into actionable insights for senior stakeholders.
- Knowledge of relevant regulatory requirements and ethical guidelines applicable to model risk management.
- Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience in model risk management, risk reporting, governance, framework implementation, or portfolio monitoring will be considered an advantage.
You'll get extra points for:
- Experience with Power BI semantic models, DAX, Power Query, or advanced dashboard design.
- Experience with AI-assisted analytics, GenAI, Copilot, or machine learning applications.
- Experience in data quality monitoring, data governance, and BCBS239-related initiatives.
- Experience working in Agile environments and cross-functional international teams.
Your responsibilities:
- Perform reviews of model risk topics and provide expert advice, ensuring quality, consistency, and compliance with the MoRM framework.
- Analyze model inventory and portfolio data to identify emerging model risks, trends, concentrations, and areas requiring management attention.
- Design, develop, and maintain portfolio-level model risk dashboards, KPIs, and management reporting solutions.
- Build automated analytical processes and reporting workflows using Python and other data technologies to improve efficiency and reporting quality.
- Transform large and complex datasets into meaningful management information and actionable insights.
- Develop advanced visualizations and interactive reporting solutions in Power BI or similar platforms to support risk oversight and decision-making.
- Support the continuous enhancement of model inventory data quality controls, monitoring capabilities, and reporting frameworks.
- Leverage AI and new technologies to improve reporting deliverables, insight generation, stakeholder engagement, and operational efficiency.
- Participate in strategic initiatives and remediation activities, collaborating with global stakeholders across Risk, Data, Technology, and Business teams.
- Influence strategic change in stakeholder behaviour by promoting data-driven decision making and portfolio-based management of model risks.
- Draft business requirements and partner with technology teams to implement reporting, analytics, and automation enhancements in iModel and related tooling.
- Deliver analytical insights, presentations, and training sessions to senior stakeholders and model risk communities.
Information about the Team:
Model Risk Portfolio Management & Framework - Reporting (MRPM&F Reporting) is responsible for the design and implementation of ING’s global Model Risk Management (MoRM) framework and tooling across all models used within ING Bank worldwide. The tribe aims to proactively manage model risks by guiding global and local communities in the execution of the model lifecycle activities, performing effective and efficient 2nd Line of Defence (LoD) challenge and oversight across ING’s model landscape, monitoring and reporting on model risks. MRO is an energetic, international team of highly qualified Model Risk Experts, Business Analysts, and Data Analysts/Programmers. MRPM&F is developing and rolling out the new Model Risk Management (MoRM) framework which scope covers all models used within ING Bank worldwide. To further strengthen and manage the model risk management activities, MRPM&F expands within Risk Hub of ING Hubs Poland. The Risk Hub Reporting Chapter supports/guides global and local model communities in execution of the model life cycle activities, together with Global MRPM&F team facilitates oversight, monitoring model risk, assessing and governing model inventory data quality, and reporting for global/local entities. We expect the MoRM department will have significant different activities due to re-setup operating model between 1st and 2nd line risk management, as well as emerging risks or regulations (EU AI Act). We are looking for Model Risk Experts to support Model Risk Management by enhancing steering mechanisms, extending reporting capabilities and contribute to various framework related projects. At ING Hubs Poland and ING Group we follow the Agile approach and mindset. We are innovative and we trust people we work with.
Specific Function
Model Risk Management (MoRM) in a nutshell; Models are an imperfect reflection of reality. Models impact our business and we use models for decision making throughout ING. We need to manage uncertainties and shortcomings in our models, as there are risks involved. Are we sure that the output leads to the right decision? Models are a great asset but come with a risk that needs to be managed. The purpose of the Model Risk Management department is to ensure the models can add business value safely. That's why we've created a cross-domain Model Risk Management Framework helping us identifying, classifying, recording and validating models we use across ING. For example, Credit, Market, KYC, Operational and Pricing models. Together with our stakeholders in e.g. Model Development and COO Risk we try to obtain the best models for ING.
The role naming convention in the global ING job architecture will be “Model Risk Specialist IV".