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Senior Quantitative Advisor, Risk Management
2 months ago
We are seeking a highly skilled Senior Quantitative Advisor to join our Risk Management team in the United States. As a Senior Quantitative Advisor, you will be responsible for executing independent reviews of business models under US and Canada regulations, working closely with cross-functional teams.
About UsSociete Generale is a leading global financial institution with a long history of innovation and excellence. We offer a dynamic and inclusive work environment that values diversity, equity, and inclusion. Our mission is to provide innovative solutions to our clients and contribute to the sustainable growth of the Societe Generale group.
Key Responsibilities- Independent review of business models under US and Canada regulations;
- Execution of quantitative analyses, statistical tests, and development of challenger models for benchmarking;
- Verification of data quality and consistency, using advanced statistical techniques to address complex datasets;
- Review and replication of model architecture to ensure computational accuracy and correct implementation;
- Performance of backtesting, benchmarking, and sensitivity analysis to evaluate model performance and accuracy;
- Ongoing monitoring of model performance, recommending adjustments or redevelopment based on changes in market conditions, products, or clients;
- Evaluation of governance aspects, including change management and ongoing monitoring, and assessment of overall model risk;
- Drafting of detailed validation reports and communication of findings to stakeholders, including management and business partners.
To be successful in this role, you will need:
- A Bachelor's degree (Master's or PhD preferred) in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM;
- Minimum 3 years of experience in model development, validation, or a front-office quant role; fewer years accepted with a PhD;
- Strong programming skills in Python, R, C++, or similar, with advanced knowledge of statistics, econometrics, and machine learning;
- Experience working with large datasets and quantitative analysis;
- Excellent written and verbal communication skills for working with both technical and non-technical staff;
- Familiarity with model risk management practices and regulatory requirements;
- Additional skills: Experience with credit risk or compliance risk models.
We offer a competitive compensation package, including:
- A salary range of $120,000 - $180,000 per year, depending on experience;
- A minimum of 20 vacation days + 4 personal days;
- Supportive maternity, paternity, parental, and adoption leave policy;
- Health spending account with 75+ eligible reimbursement categories;
- Fully sponsored virtual healthcare assistance and Employee Assistance Program;
- Variety of employee resource groups to engage with.
