Our esteemed client is currently seeking a highly experienced Director of Quantitative Risk Management with a strong background in machine learning to lead the development, implementation, testing and maintenance of models used for margin, clearing fund and stress testing. This role will work closely with risk managers in Financial Risk Management and partners in other areas, including Information Technology, Model Validation, and Compliance.

What You'll Do:
As the Director of Quantitative Risk Management, the successful candidate will be responsible for the following:

• Directing, leading and reviewing the development and implementation of models for pricing, margin risk and stress testing of financial products and derivatives. The candidate will be responsible for ensuring that the models are accurate, reliable and meet the needs of the business. They will also be responsible for ensuring that the models are developed in accordance with industry best practices and regulatory requirements.
• Conducting research and presenting model alternatives based on the academic literature, industry best practices, data analysis and model prototyping. The candidate will be responsible for staying up-to-date with the latest developments in the field of quantitative risk management and machine learning, and for identifying new and innovative ways to improve the models.
• Developing standards, procedures and tools for model performance monitoring and communicating results to peers and leadership. The candidate will be responsible for ensuring that the models are performing as expected and for identifying any issues or areas for improvement. They will also be responsible for communicating the results of the model performance monitoring to their peers and to senior leadership.
• Leading and directing the implementation of the model development tools in QRM supporting model analysis and backtesting. The candidate will be responsible for ensuring that the tools used to develop the models are effective and efficient, and for identifying any areas for improvement. They will also be responsible for ensuring that the models are thoroughly tested and validated before they are put into production.
• Preparing and presenting materials supporting management and regulatory inquiries. The candidate will be responsible for preparing and presenting materials to senior management and regulatory bodies, and for ensuring that the materials are accurate, reliable and meet the needs of the audience.
• Providing intellectual leadership promoting innovation and learning. The candidate will be responsible for promoting innovation and learning within the team, and for identifying new and innovative ways to improve the models.

What You Bring:
The ideal candidate will possess the following qualifications:

• Expertise in financial mathematics, econometrics, data analysis, numerical methods and optimization, and risk management methods. The candidate should have a deep understanding of the mathematical and statistical techniques used in quantitative risk management, and should be able to apply these techniques to real-world problems.
• A seasoned level of understanding of markets and financial derivatives in equities, interest rate, and commodity products. The candidate should have a deep understanding of the financial markets and the products traded in those markets, and should be able to apply this knowledge to the development of the models.
• Advanced proficiency in using a programming language in a collaborative software development setting. The candidate should be proficient in at least one programming language, and should be able to work collaboratively with other members of the team to develop and maintain the models.
• Strong problem-solving skills and the ability to challenge model methodologies, assumptions, and validation approach. The candidate should be able to identify and solve complex problems, and should be able to challenge the assumptions and methodologies used in the development of the models.
• Seasoned expertise in technical and scientific documentation. The candidate should be able to produce high-quality technical and scientific documentation, and should be able to communicate complex ideas to a non-technical audience.
• Experience in Agile/SCRUM framework. The candidate should have experience working in an Agile/SCRUM framework, and should be able to work collaboratively with other members of the team to deliver high-quality results.

If you are a seasoned professional with a passion for machine learning and risk management, our client would like to hear from you. Apply now to join a dynamic team of experts and take your career to the next level. Our client offers a competitive salary and benefits package, as well as opportunities for professional development and career advancement.