# Model Risk Portfolio Analytics & Reporting  Specialist at ING

ING is hiring a Model Risk Portfolio Analytics & Reporting  Specialist. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/9968a1f6-a069-4a5f-967b-8af87e2ca0a7?utm_medium=ai-agent).

AI Level 3, AI centrality 60 out of 100. Warszawa (Pańska 97).

## Details

- Company: [ING](https://jobsbylevel.com/companies/ing)
- AI level: AI Level 3 (score 60 out of 100)
- Location: Warszawa (Pańska 97)
- Posted: October 16, 2026
- Apply: https://jobsbylevel.com/go/9968a1f6-a069-4a5f-967b-8af87e2ca0a7?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/model-risk-portfolio-analytics-reporting-specialist-at-ing-2193b4

## Description

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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/model-risk-portfolio-analytics-reporting-specialist-at-ing-2193b4

Source: https://jobsbylevel.com/jobs/model-risk-portfolio-analytics-reporting-specialist-at-ing-2193b4

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Level. https://jobsbylevel.com/jobs/model-risk-portfolio-analytics-reporting-specialist-at-ing-2193b4.

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