Senior Model Risk Management Specialist
1 week ago
Are you a seasoned professional looking for a challenging role in model risk management? We are seeking a Senior Quantitative Advisor to join our team at SGS Société Générale de Surveillance SA. This is an excellent opportunity to leverage your expertise and make a meaningful impact on the company's success.
About the RoleWe are seeking a highly skilled and experienced Senior Quantitative Advisor to join our Risk Management Department. As a key member of our team, you will be responsible for executing independent reviews of business models under US and Canada regulations, working closely with cross-functional teams. Your primary focus will be on assessing model design and conceptual soundness, verifying data quality, replicating model architecture, and performing backtesting and benchmarking.
This role offers a unique blend of quantitative analysis, technical skills, and communication expertise. You will have the opportunity to work with a variety of models used by the business and support functions, including credit risk and financial crime compliance models.
Key Responsibilities- Model Review: Independently assess model design and conceptual soundness by conducting quantitative analyses, statistical tests, and developing challenger models for benchmarking.
- Data Quality: Verify the quality and consistency of data inputs, transformations, and outputs, using advanced statistical techniques to address complex datasets.
- Model Replication: Review and replicate model architecture to ensure computational accuracy and correct implementation.
- Output Analysis: Perform backtesting, benchmarking, and sensitivity analysis to evaluate model performance and accuracy.
- Ongoing Monitoring: Regularly assess model performance, recommending adjustments or redevelopment based on changes in market conditions, products, or clients.
- Model Governance: Evaluate governance aspects, including change management and ongoing monitoring, and assess overall model risk.
- Communication and Reporting: Draft detailed validation reports and communicate findings to stakeholders, including management and business partners.
To be successful in this role, you will need:
- Bachelor's degree (Master's or PhD preferred) in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM.
- Minimum 3 years 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.
We offer a competitive compensation package, including:
- A salary range of $120,000 - $180,000 per year, depending on experience.
- Minimum of 20 vacation days + 4 personal days.
- Supportive maternity, paternity, parental, and adoption leave policy.
- Health spending ($2,000/year) and personal spending ($1,000/year) accounts with 75+ eligible reimbursement categories.
- Fully sponsored virtual healthcare assistance and Employee Assistance Program.
- Variety of Employee Resource Groups to engage with.
SGS Société Générale de Surveillance SA is a leading global company that provides innovative solutions to its clients. Our commitment to diversity and inclusion, hybrid work environment, and continuous development opportunities make us an attractive employer for talented professionals like yourself.
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