Quantitative Risk Model Validator

1 maand geleden


Amsterdam, Noord-Holland, Nederland Vye Professionals | Experts in Quants Voltijd

About the Company

Vye Professionals | Experts in Quants is a leading provider of quantitative talent to the financial industry. Our team of experts is dedicated to delivering high-quality solutions that meet the evolving needs of our clients.

About the Job

We are seeking a highly skilled Quantitative Risk Model Validator to join our team. As a key member of our Model Validation team, you will be responsible for challenging the quality of risk models used by our clients. This is a unique opportunity to work with a wide range of modeling techniques, risk types, businesses, and stakeholders.

Your Job

As a Quantitative Risk Model Validator, you will be responsible for:

  • Validating risk models to ensure they meet regulatory requirements and are accurate and reliable
  • Challenging state-of-the-art modeling techniques and checking the implementation and use of models
  • Collaborating with cross-functional teams to ensure model risk management is integrated into all aspects of the business
  • Developing and maintaining knowledge of financial risk measurement and management methodologies
  • Staying up-to-date with regulatory requirements and industry developments

Your Working Environment

You will be part of a dynamic and international team of about 25 specialists, working in a fast-paced and stimulating environment. We value team players who are smart, persistent, take their role seriously, and are committed to finishing the job.

Your Profile

  • University degree in a quantitative discipline, e.g., (financial) mathematics, (theoretical) physics, econometrics, or similar, at least at Master level
  • At least 2 years of relevant work experience in a quantitative role in the financial industry and/or in related research
  • Knowledge of financial risk measurement and management methodologies
  • Knowledge of regulatory requirements regarding model risk management and (risk) modeling
  • Knowledge and experience with mathematical finance, statistics, and econometrics
  • Knowledge of financial markets and products
  • Experience with modern programming languages, e.g., Python, MATLAB, C++, and/or database tooling, e.g., SQL, SAS, and their application in statistical analysis
  • Good communication and influencing skills to a wide range of stakeholders
  • Full business proficiency in English

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