Conduct in-depth analyses related to regulatory requirements for Legal Entities in the EMEA region
Maintain and refine quantitative analyses for methodologies related to Equity Risk simulations
Prepare high-quality documentation with statistical justifications and liaise with the model validation team
Work with existing market risk models, identifying and addressing weaknesses, as well as implementing model enhancements for new business needs
Collaborate with risk management teams, front office, technology, and control groups to enhance market risk models and support related production processes
Generate detailed reports and quantitative analysis for senior management and regulatory bodies
Requirements:
Postgraduate degree in a quantitative field such as Mathematics, Physics, Statistics, Data Science, or Engineering
Strong knowledge and experience in market risk modeling, derivatives pricing, exotic products, risk management practices, and financial regulations (Basel 2.5, Basel 3)
Proficiency in statistical techniques used in Financial Engineering, such as Principal Component Analysis (PCA), Parametric Approximations, and Expected Weighted Averages
Ability to interpret and translate regulatory guidelines into technical specifications for implementation, testing, validation, and compliance
Advanced programming skills in Python, VBA, SQL, Unix, and other relevant tools
Strong analytical mindset and problem-solving abilities, with a keen interest in quantitative risk modeling and financial markets
Excellent oral and written communication skills, with the ability to present complex quantitative concepts to diverse stakeholders
PhD or MSc qualification in a relevant field is strongly preferred