Quantitative Risk Model Analyst
6 hours ago
SGS Société Générale de Surveillance SA seeks a skilled Quantitative Risk Model Analyst to join its team in Risk Management. This role is part of the second line of defense for model risk management and oversees the SG America regions (US, Canada, and Latin America).
Key Responsibilities:
The successful candidate will participate in the development and maintenance of the continuous model monitoring (CMM) framework to assess models' performance and ensure adherence to regulatory requirements. They will collaborate with Senior Quantitative Advisors and the team Manager to conduct independent model reviews of relevant models employed in SG Americas at all lifecycle stages.
Qualifications:
To be considered for this role, candidates must have a Bachelor's degree (Master's or PhD preferred) in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM. A minimum of 3 years of experience in model development, validation, or a front-office quant role is required, with fewer years accepted with a PhD. Strong programming skills in Python, R, C++, or similar are essential, along with experience working with large datasets and quantitative analysis. Familiarity with model risk management practices and regulatory requirements is also necessary. Additional skills, such as experience with market risk, counterparty risk, or algorithmic trading models, are an advantage.
Benefits:
As a Quantitative Risk Model Analyst at SGS Société Générale de Surveillance SA, you can expect a competitive salary of $120,000 - $180,000 per year, depending on experience. You will also enjoy a comprehensive benefits package, including a minimum of 20 vacation days, supportive maternity and paternity leave policies, health spending accounts, and fully sponsored virtual healthcare assistance. The company promotes a culture of continuous development through training programs and values diversity and inclusion.
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