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Job Description and Requirements

Key Roles & Responsibilities :

  • Create, develop and maintain stress testing methodologies for risks.
  • Use techniques from quantitative risk management, financial mathematics and econometrics to develop, assess, and change models.
  • Implement models in R and produce clear documentation for regulators.
  • Bring new quantitative modeling ideas to our team to push ahead key projects.
  • Interact and discuss with key stakeholders (senior model owner, business representatives, model validation teams, IT and model governance bodies).

Qualifications & Requirements :

  • Bachelor’s or Master’s degree in a quantitative discipline (e.g., Econometrics, Statistics, Financial Engineering, Computational Science, Quantitative Finance), 
  • Statistics or math combined with data analytics.
  • Proven track record in risk modelling with expert knowledge of statistical and econometric methods.
  • Good understanding of financial markets and the banking business, incl. knowledge of financial accounting.
  • Strong analytical, conceptual and organizational skills with the ability to work to tight deadlines.
  • Programming knowledge. Experience in writing code in a statistical or high-level programming language is essential.
  • Very good communication skills and the ability to explain technical topics clearly and intuitively, both written and orally.
  • Experienced in creating your own models.
  • Proficient in programming with statistical software (e.g. R, Matlab, Python, etc).
  • Experience or knowledge in building risk models and stress testing models
  • Familiar with programming languages such as SQL, or Python or R and excellent command of Excel including VBA.

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