Model Risk Specialist III

ING Hubs Poland

Warszawa

On-site

PLN 107,000 - 201,000

Full time

10 days ago

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Job summary

ING Hubs Poland is seeking a dedicated Model Risk Specialist to join the analytics team in Warsaw. You will perform quantitative and qualitative analyses of model inventories, drive governance discussions, and support control activities across the Model Risk Management framework.

The role emphasizes data-driven decision making, stakeholder collaboration, and ongoing improvements to risk controls. A quantitative degree and hands-on MRN experience are preferred.

Qualifications

  • A quantitative degree with experience in Data Analytics.
  • Risk management skills with hands-on Model Risk experience (2+ years).
  • Knowledge of regulations and governance; knowledge of Model Risk Management Framework.
  • Design thinking.
  • Strong analytical and problem-solving capabilities.
  • Strong communication skills for technical and non-technical audiences.

Responsibilities

  • Quantitative and qualitative analysis of model inventory data to assess risk and drive governance actions.
  • Review model risk topics and ensure quality across the Model Life Cycle at portfolio level.
  • Support model risk control activities including attestation and data quality reviews.
  • Prepare analyses for stakeholders and present MoRM reports to governance bodies.
  • Participate in strategic initiatives and respond to audit requests/remediation activities.
  • Deliver information sessions and trainings; influence stakeholder risk behavior.
  • Interact with model owners to foster accountability within the first line of defence.

Skills

Data Analytics
Model Risk
Regulatory Knowledge
Design Thinking
Analytical Thinking
Communication Skills
Stakeholder Management

Education

Quantitative degree

Tools

Python
VBA
SAS MRM tool
Power BI

Job description

ING Hubs Poland is seeking a dedicated Model Risk Specialist to join the analytics team in Warsaw. You will perform quantitative and qualitative analyses of model inventories, drive governance discussions, and support control activities across the Model Risk Management framework.

The role emphasizes data-driven decision making, stakeholder collaboration, and ongoing improvements to risk controls. A quantitative degree and hands-on MRN experience are preferred.

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