Model Developer (f/m/d)

Your career at Deutsche Börse Group

Your area of work:

CFCL Risk Management is searching for a quantitative analyst to maintain, further develop and oversee the entity’s risk models. The model developer role will be part of a highly dynamic team, having ownership of the development, implementation, maintenance and continuous improvement of the entity’s quantitative models and methodologies. Furthermore, the role will assume responsibility for the related reporting, ad-hoc reviews, investigations and special assignments as required to senior management.

Your responsibilities:

• Develop, maintain and continuously improve risk management models, including models to quantify financial and non-financial risks such as: liquidity, credit, market, operational and business risk.
• Ensure risk management models are aligned with applicable requirements and regulations, business developments and new products.
• Define, document and manage processes required for the maintenance of risk management models in their productive states; take ownership for continuous improvements to the existing methodologies and model monitoring tools; address any related findings as revealed by model monitoring or model validation.
• Regularly review the adequacy and robustness of applied risk models and perform model calibrations, undertake impact assessments and report on the results, where applicable.
• Deliver insightful management information in support of senior management and committee review.
• Develop and maintain effective relationships with internal stakeholders and regulatory authorities.
• Support the performance of model validation and internal audit activities.
  
  
  

Your profile:

• Minimum of 3 years of experience in model development.
• University degree in Economics, Mathematics, Risk Management, or related field.
• Relevant experience in model development and/or model validation function, or related roles.
• Good understanding of quantitative risk models (rating models, credit risk models, market risk models, operational risk models) and the underlying quantitative methodology (stochastics & statistics, numerical algorithms).
• Strong knowledge of statistics and econometric methods as well as mathematical finance and their applications.
• Strong programming skills in python, VBA, SQL, PowerBI and data analytics tools.
• Strong knowledge of relevant risk management regulations and guidelines in regards to risk management, risk quantification and the model development lifecycle.
• Attention to detail, strong problem-solving and analytical skills, sound judgement.
• Strong ability to transform complex data into actionable insights.
• Effective communication skills, with the ability to interact with diverse stakeholders.
• Highly organized with strong attention to detail.
• Proficiency in written and spoken English; additional language skills are a plus.
• FRM or CFA certification would be an advantage.