Quantitative Risk Management Specialist
3 days ago
About Us:
Societe Generale is a leading international banking group that provides comprehensive financial services to its clients. As part of our commitment to innovation and excellence, we are seeking a skilled Quantitative Risk Management Specialist to join our team.
Job Description:
We are looking for a highly motivated and experienced Quantitative Risk Management Specialist to participate in the development and maintenance of our continuous model monitoring (CMM) framework. In this role, you will conduct independent model reviews of relevant models used in our Americas business, assessing their conceptual soundness and verifying data input quality and processing.
Main Responsibilities:
- Design and implement model risk management systems to ensure consistency, integrity, and regulatory compliance.
- Manage the model approval process and monitor models' performance on an ongoing basis.
- Collaborate with Senior Quantitative Advisors and the team Manager to develop and maintain the CMM framework.
Requirements:
To be successful in this role, you should have a Bachelor's degree in a quantitative field (Master's or PhD preferred) and at least 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 languages, as well as experience working with large datasets and familiarity with model risk management practices.
Additional Skills:
- Familiarity with market risk or algorithmics trading models.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Salary: $120,000 - $180,000 per year, depending on experience
Benefits:
- Minimum of 20 vacation days + 4 personal days
- Supportive maternity, paternity, parental, and adoption leave policy
- Health spending and personal spending accounts
- Fully sponsored virtual healthcare assistance
- Various Employee Resource Groups (ERG)
Location: New York, NY or Chicago, IL
Language: English
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