Advanced Risk Model Development Specialist
1 month ago
The Societe Generale group seeks a skilled Quantitative Advisor to contribute to the sustainable growth of its corporate and investment banking business activities. As part of the Risk Management Department, you will play a crucial role in model risk management, overseeing the second line of defense for model risk.
Key Responsibilities- You will participate in the development and maintenance of the continuous model monitoring (CMM) framework, assessing models' performance and effectiveness.
- Conduct independent model reviews of relevant models employed by SG Americas, evaluating conceptual soundness and quantitative analyses.
- Review ongoing model monitoring to ensure necessary adjustments and work with large datasets to verify data input quality and processing.
To succeed in this role, you should have a Bachelor's degree in a quantitative field, such as Mathematical Finance, Financial Engineering, or Statistics, and at least 3 years of experience in model development, validation, or a front-office quant role. Proficiency in programming languages like Python, R, or C++ is essential, along with advanced knowledge of statistics, econometrics, and machine learning.
Requirements- Education: Bachelor's degree in a quantitative field.
- Experience: At least 3 years in model development, validation, or a front-office quant role.
- Technical Proficiency: Strong programming skills in Python, R, or C++.
- Data Management: Experience working with large datasets and quantitative analysis.
- Model Risk: Familiarity with model risk management practices and regulatory requirements.
- Supportive maternity, paternity, parental, and adoption leave policy.
- Health spending ($2000/year) and personal spending ($1000/year) accounts.
- Fully sponsored virtual healthcare assistance and Employee Assistance Program.
- A culture of continuous development through various training programs.
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