Model Risk Portfolio Analytics & Reporting Specialist

at ING

📍 Warsaw, Poland

PLN 156,000-264,000 per year

MIDDLE

✅ On-site

✅ Visa Sponsorship

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.

AI @ 3 Agile @ 3 BI @ 3 Communication @ 6 Compliance DAX @ 3 Data Science @ 3 Data Visualization @ 3 GenAI @ 3 KYC Machine Learning @ 3 Mathematics @ 3 Power BI @ 3 Python @ 3 Reporting @ 3 SQL @ 1 Statistics @ 3 Tableau @ 3

Details

ING Hubs Poland is hiring for a Model Risk Portfolio Analytics & Reporting Specialist. The expected salary is 13,000–22,000 PLN gross per month. The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

Requirements

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 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 technical and non-technical audiences.
Experience in model risk management, risk reporting, governance, framework implementation, or portfolio monitoring is an advantage.

Additional Qualifications

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.

Responsibilities

Review model risk topics and provide expert advice, ensuring quality, consistency, and compliance with the Model Risk Management 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.

Team

Model Risk Portfolio Management & Framework - Reporting is responsible for the design and implementation of ING’s global Model Risk Management framework and tooling across all models used within ING Bank worldwide. The team manages model risks by guiding global and local communities through model lifecycle activities, performing second-line-of-defence challenge and oversight, monitoring and reporting on model risks, and governing model inventory data quality.

The international team includes Model Risk Experts, Business Analysts, and Data Analysts/Programmers. It is developing and rolling out a new Model Risk Management framework covering all models used within ING Bank worldwide, including Credit, Market, KYC, Operational, and Pricing models. The team follows an Agile approach and mindset and is involved in emerging risks and regulations, including the EU AI Act.

The role naming convention in the global ING job architecture will be “Model Risk Specialist IV”.