Quantitative Risk Management Specialist
5 days ago
At SGS Société Générale de Surveillance SA, we're committed to providing a robust framework for risk management that fosters sustainable growth.
SalaryWe offer an attractive salary of $120,000 per annum, commensurate with experience and qualifications.
Job DescriptionAs a Quantitative Risk Management Specialist, you'll play a vital role in ensuring the integrity and effectiveness of our model risk management system. Your primary responsibilities will include:
- Conducting independent reviews of models employed in SG Americas at all stages of their lifecycle;
- Evaluating model governance aspects such as model change management;
You'll work closely with cross-functional teams, including model validators, model developers, business stakeholders, IT, and auditors, to assess the performance, effectiveness, and risks associated with various models across the business and support functions.
Required Skills and QualificationsTo excel in this role, you'll 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;
- Experience working with large datasets and quantitative analysis;
- Familiarity with model risk management practices and regulatory requirements;
- Additional skills in market risk, counterparty risk, margining, or algorithmic trading models;
We offer a comprehensive benefits package, including:
- Supportive Maternity, paternity, parental, and adoption leave policy;
- Health spending ($2,000/year) and personal spending ($1,000/year) accounts;
- Fully sponsored virtual healthcare assistance and Employee Assistance Program;
- Culture of continuous development through various training programs;
Due to US Federal Securities law applying to this position, candidates will be required to submit to an enhanced background screening.
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