Model Risk Management Intern
6 maanden geleden
Join ING's Model Risk Management Department as an intern and gain valuable experience in the dynamic field of model risk management. As an intern, you will have the opportunity to work with a diverse and energetic team of highly qualified professionals, contributing to the validation and improvement of risk models used across ING.
**About the Model Risk Management Department**
The Model Risk Department plays a vital role in safeguarding the quality and reliability of models used throughout ING. Models are critical for decision-making processes across various risk domains. The department's mission is to ensure that these models are fit for purpose, comply with regulations, and provide accurate insights for effective risk management.
The department covers four different areas of validations.
- The Banking Book Tribe focuses on interest rate risk, asset & liability management, capital & liquidity adequacy, and client behavioral models (e.g., mortgage prepayment and deposit withdrawal).
- The Business Operations and Analytics Tribe validates machine learning models and rule-based models aimed at fraud detection and anti-money laundering.
- The Credit Risk Tribe focuses on credit risk models, including IFRS9 models, which determine expected loan losses and provisions, and internal ratings-based models (e.g., probability-of-default and loss-given-default models).
- The Trading Book Tribe covers trading risk models (e.g., Value-at-Risk), counterparty credit risk models (e.g., potential future exposure and initial margin models) and derivative pricing models.
**What you’ll do**:
As an intern working as model validator, you focus on and further learn about the topics related to the models in your scope, using machine learning, econometrics, coding, business knowledge and related regulations. You perform in-depth analyses and write code to perform quantitative assessments. You summarize your analyses and conclusions in clear, fact-based and persuasively written reports, which are presented to the relevant Model Approval Committee. You share your knowledge and effectively communicate with team members and a wide range of internal and external stakeholders. You also have the opportunity to participate in the development of innovative, state-of the-art validation frameworks and coding libraries
**Who are we looking for?**
We are looking for a data scientist to generate stratified data and to prototype new algorithm to improve transaction monitoring. As a member of our team, you are:
- Currently pursuing a master's degree in a quantitative field, such as Econometrics, Mathematics, Physics, or a related discipline.
- Equipped with strong analytical and problem-solving skills, demonstrating a keen interest in quantitative analysis and modeling.
- Comfortable with programming languages such as Python, R, or SAS, enabling you to handle data and conduct analyses efficiently.
- Possessing a good understanding of statistical concepts and quantitative methods, providing a solid foundation for risk modeling.
- Exhibiting excellent written and verbal communication skills in English
- Proactive with the ability to work independently and collaborating effectively within a team environment.
**Why join us?**
- Gain hands-on experience in model risk management and validation within a leading global bank.
- Work alongside experienced professionals and learn from their expertise in various risk domains.
- Contribute to the ongoing improvement and enhancement of risk models across ING.
- Explore a wide range of models and risk areas, expanding your knowledge and skill set.
- Embrace a culture of innovation, continuous learning, and professional development.
**Interested to learn more?
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