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5 дней назад

Internship - Monte Carlo Models for Counterparty Credit Risk (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Netherlands/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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 workhirify.global. Durhirify.global 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

hirify.global 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 recurrhirify.global analyses.
  • Support quantitative assessments of non-simulated risks, model convergence, and calibration stability.
  • Document methodologies, assumptions, results, and conclusions in model-monitorhirify.global reports and presentations.
  • Collaborate with model developers, implementers, IT, risk specialists, and business stakeholders on requirements, testhirify.global, and model or process improvements.
  • Explore advanced analytics and AI for more efficient monitorhirify.global, testhirify.global, and reporthirify.global 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-solvhirify.global skills, with the ability to translate complex results into clear conclusions.
  • Basic knowledge of counterparty credit risk, derivatives, financial modellhirify.global, 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 holdhirify.global an EU passport, throughout the internship.

Culture & Benefits

  • Hybrid workhirify.global combines home workhirify.global for focus with office workhirify.global for collaboration and co-creation.
  • Trainhirify.global and practical experience with quantitative risk specialists, model developers, IT, and business stakeholders.
  • Personal growth and challenghirify.global work in an international, open, collaborative, and agile environment.
  • Own work laptop provided.
  • Informal workhirify.global environment with innovative colleagues.

hirify.global-process">Hirhirify.global process

  • Submit a CV and motivation letter through the application process.

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