Risk Model Quantitative Advisor

7 days ago


Montreal, Quebec, Canada SGS Société Générale de Surveillance SA Full time

**About the Job

Societe Generale is seeking a highly skilled Risk Model Quantitative Advisor to join our team in the United States. In this role, you will contribute to the development and maintenance of our continuous model monitoring (CMM) framework, assessing models' performance and risk management of our model portfolio.

The successful candidate will participate in independent model reviews, conducting quantitative analyses, statistical tests, and evaluating model governance aspects such as model change management. You will also collaborate with Senior Quantitative Advisors and the team Manager to ensure necessary adjustments or replacements of models.

To succeed in this position, you must have a Bachelor's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM, and at least 3 years of experience in model development, validation, or a front-office quant role. Your technical proficiency should include strong programming skills in Python, R, C++, or similar, with advanced knowledge of statistics, econometrics, and machine learning.

As a Risk Model Quantitative Advisor, you will work closely with both technical and non-technical staff, requiring excellent written and verbal communication skills. Familiarity with model risk management practices and regulatory requirements is essential.

We offer a competitive salary range of $120,000 - $180,000 per year, based on your experience and qualifications. Our benefits package includes minimum 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, Employee Assistance Program, and various Employee Resource Groups.

In addition to our comprehensive benefits package, we provide a culture of continuous development through various training programs. We value diversity and inclusion and strive to create an environment where all employees feel valued and supported.

Please note that due to US Federal Securities law applying to this position, candidates who apply will be required to submit to an enhanced background screening.



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