5 дней назад
Internship - Monte Carlo Models for Counterparty Credit Risk (Fintech)
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Описание вакансии
Текст:
TL;DR
Internship - Monte Carlo Models for Counterparty Credit Risk (Python/SQL/Monte Carlo): Analysing and monitoring simulation-based models for Potential Future Exposure and Pillar II Exposure at Default across derivative portfolios with an accent on quantitative risk analysis, model monitoring, and reproducible reporting. Focus on assessing model convergence and calibration stability, automating large-dataset analyses, and collaborating on model testing and improvements.
Location: Amsterdam, Netherlands; hybrid work. Dur the internship, enrollment at a Dutch university, or an EU university for EU passport holders, is mandatory.
Internship allowance: 700 EUR based on a 36-hour work week.
Company
is a large financial institution whose Financial Risk function develops and governs quantitative models for counterparty credit risk and capital calculations.
What you will do
- Monitor the performance, scope, and key assumptions of Monte Carlo models for Potential Future Exposure and Pillar II Exposure at Default.
- Use Python, SQL, and data-analysis tools to process large datasets and automate recurr analyses.
- Support quantitative assessments of non-simulated risks, model convergence, and calibration stability.
- Document methodologies, assumptions, results, and conclusions in model-monitor reports and presentations.
- Collaborate with model developers, implementers, IT, risk specialists, and business stakeholders on requirements, test, and model or process improvements.
- Explore advanced analytics and AI for more efficient monitor, test, and report of model risk.
Requirements
- Currently enrolled in a Master's programme in Quantitative Finance, Econometrics, Mathematics, Physics, Data Science, Computer Science, or a related quantitative field.
- Experience with Python; pandas, NumPy, SQL, statistics, and data visualisation are advantageous.
- Good analytical and problem-solv skills, with the ability to translate complex results into clear conclusions.
- Basic knowledge of counterparty credit risk, derivatives, financial modell, and Monte Carlo simulation is preferred.
- Accurate, proactive, collaborative, and able to communicate clearly in English.
- Must remain enrolled at a Dutch university, or an EU university when hold an EU passport, throughout the internship.
Culture & Benefits
- Hybrid work combines home work for focus with office work for collaboration and co-creation.
- Train and practical experience with quantitative risk specialists, model developers, IT, and business stakeholders.
- Personal growth and challeng work in an international, open, collaborative, and agile environment.
- Own work laptop provided.
- Informal work environment with innovative colleagues.
hirify.global-process">Hir process
- Submit a CV and motivation letter through the application process.
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