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Quantitative Risk Specialist
1 month ago
About Societe Generale: The Risk Management Department plays a vital role in the sustainable growth of the company through its expertise and risk management techniques. Its mission is to analyze, assess, manage, and monitor risk-taking activities with the goal of achieving the best possible outcome for the bank. The department oversees various risks, including enterprise, strategic, credit, market, liquidity, operational, model, and other risks associated with corporate and investment banking business activities.
The Model Risk Management team within the Risk Management function is responsible for overseeing model risk management. This team conducts independent reviews of models in its scope and ensures compliance with regulatory requirements. The team's main tasks include designing the model risk management system, managing the model approval process, monitoring model performance, and conducting regular evaluations.
In this role, you will work closely with cross-functional teams to review business models under US and Canada regulations. You will be responsible for assessing model design, conceptual soundness, data quality, output analysis, ongoing monitoring, and governance aspects. Your skills and qualifications will enable you to work collaboratively with front-office staff, model developers, and risk managers.
Key Responsibilities:
- Model Review: Conduct quantitative analyses, statistical tests, and develop challenger models for benchmarking.
- Data Quality: Verify the quality and consistency of data inputs, transformations, and outputs.
- Output Analysis: Perform backtesting, benchmarking, and sensitivity analysis to evaluate model performance.
- Ongoing Monitoring: Regularly assess model performance and recommend adjustments.
- Model Governance: Evaluate governance aspects, including change management and ongoing monitoring.
- Collaboration: Work closely with front-office staff, model developers, and risk managers.
Requirements:
- Education: Bachelor's degree (Master's or PhD preferred) in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM.
- Experience: Minimum 3 years in model development, validation, or a front-office quant role; fewer years accepted with a PhD.
- Technical Proficiency: Strong programming skills in Python, R, C++, or similar.
- Data Management: Experience working with large datasets and quantitative analysis.
- Model Risk: Familiarity with model risk management practices and regulatory requirements.
- Additional Skills: Experience with credit risk or compliance risk models.
This role offers an attractive salary package, with an estimated annual compensation range of $90,000-$120,000, depending on experience and qualifications. The company also provides a comprehensive benefits package, including a minimum of 20 vacation days, supportive maternity and paternity leave policy, health spending account, and employee resource groups. In addition, Societe Generale offers a hybrid work arrangement that allows employees to balance remote and on-site work. As a Quantitative Risk Specialist, you will have the opportunity to grow your career in a dynamic and supportive environment.