Quantitative Risk Manager
2 weeks ago
At SGS Société Générale de Surveillance SA, we are seeking a highly skilled Quantitative Risk Manager to join our team. In this role, you will be responsible for ensuring the integrity and accuracy of our models, working closely with cross-functional teams to identify and address any potential risks.
The ideal candidate will have a strong background in quantitative analysis, with experience in model development, validation, and risk management. You will be expected to have excellent communication skills, both written and verbal, and be able to work effectively in a collaborative environment.
Key Responsibilities:
- Model Review: Conduct thorough reviews of our models to ensure they are designed and implemented correctly.
- Data Quality: Verify the accuracy and consistency of our data inputs, transformations, and outputs.
- Model Governance: Evaluate and implement effective governance processes to ensure our models are managed and monitored properly.
- Communication: Communicate complex technical information to both technical and non-technical stakeholders.
Requirements:
- Education: Bachelor's degree in a quantitative field, such as Mathematical Finance, Financial Engineering, or Statistics.
- Experience: Minimum 3 years of experience in model development, validation, or risk management.
- Technical Skills: Strong programming skills in Python, R, or C++, with advanced knowledge of statistics, econometrics, and machine learning.
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