Quantitative Model Risk Specialist
3 days ago
About the Role:
The Model Risk Management Department at SGS Société Générale de Surveillance SA plays a crucial role in ensuring the sustainable growth of the organization through effective risk management. Our team is responsible for analyzing, assessing, managing, and monitoring risk-taking activities to achieve the best possible outcome for the company.
We are currently seeking a highly skilled Quantitative Model Risk Specialist to join our team. The successful candidate will be responsible for conducting independent model reviews of relevant models employed in the organization at all stages of their lifecycle. This will involve assessing model conceptual soundness, working with large datasets to verify data input quality and processing, replicating and reviewing model architecture, analyzing model output through backtesting, benchmarking, sensitivity analysis, and reviewing model ongoing monitoring.
Key Responsibilities:
- Conduct thorough model reviews to ensure that models are sound and accurate
- Work with complex datasets to identify and resolve data quality issues
- Collaborate with cross-functional teams to implement model changes and improvements
- Analyze model output to identify areas for improvement and optimize model performance
Requirements:
To be successful in this role, you will need to have a Bachelor's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM, with a minimum of 3 years of experience in model development, validation, or a front-office quant role. You should also have strong programming skills in Python, R, C++, or similar, with advanced knowledge of statistics, econometrics, and machine learning.
A competitive salary of $120,000 - $150,000 per year is offered, depending on experience, along with additional benefits and opportunities for career growth.
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