5 дней назад
Internship - Monte Carlo Models for Counterparty Credit Risk
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Internship - Monte Carlo Models for Counterparty Credit Risk (Python/SQL): Supporting simulation-based models for counterparty credit risk, including Potential Future Exposure and Pillar II Exposure at Default, with an accent on model monitoring, quantitative analysis, and data processing. Focus on assessing model convergence and calibration stability, automating reproducible reporting, and collaborating on model testing and implementation improvements.
Location: CDR (Amsterdam - Cedar), hybrid working. During the internship, enrollment at a Dutch university is mandatory, or at an EU university for EU passport holders.
Internship allowance: 700 EUR based on a 36-hour work week.
Company
hosts an international Counterparty Credit Risk team responsible for simulation-based models used in financial risk measurement and capital calculations.
What you will do
- Monitor the performance, scope, and 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 recurring analyses.
- Support quantitative assessments of non-simulated risks, model convergence, and calibration stability.
- Document methodologies, assumptions, results, and conclusions in monitoring reports and presentations.
- Collaborate with model developers and implementers on requirements, testing, and process improvements.
- Explore advanced analytics and AI for more efficient model-risk monitoring, testing, and reporting.
Requirements
- Enrollment in a Master’s programme at a Dutch university, or at an EU university for EU passport holders, is mandatory throughout the internship.
- Study in Quantitative Finance, Econometrics, Mathematics, Physics, Data Science, Computer Science, or a related quantitative field.
- Experience with Python; knowledge of pandas, NumPy, SQL, statistics, or data visualisation is advantageous.
- Strong analytical and problem-solving skills with the ability to translate complex results into clear conclusions.
- Clear communication in English, both verbally and in writing.
- Basic knowledge of counterparty credit risk, derivatives, financial modelling, or Monte Carlo simulation is preferred.
Nice to have
- Knowledge of counterparty credit risk, derivatives, financial modelling, and Monte Carlo simulation.
- Experience with pandas, NumPy, SQL, statistics, or data visualisation.
Culture & Benefits
- Hybrid working combining home working with office collaboration.
- Training and practical development with experienced risk specialists, model developers, and IT colleagues.
- Personal growth through challenging work in an informal, collaborative, and agile environment.
- Work laptop provided.
Hiring process
- Submit a CV and motivation letter through the application process.
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