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Senior Risk Management Expert, Model Validation Specialist
2 months ago
We are seeking a seasoned Quantitative Advisor to join our team in the Risk Management Department. As a Senior Risk Management Expert, you will play a crucial role in ensuring the accuracy and reliability of our models.
About the JobThe Risk Management Department at Societe Generale de Surveillance SA is responsible for analyzing, assessing, managing, and monitoring risk-taking activities. Our mission is to provide independent oversight and expertise to ensure the sustainable growth of the company.
The Quantitative Advisor will work closely with cross-functional teams, including business stakeholders, model developers, model validators, IT, and auditors. You will be responsible for executing an independent review of business models under US and Canada regulations.
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 succeed in this role, you must have:
- 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:
- Estimated annual salary: $120,000 - $150,000 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 to you and your immediate family.
- Variety of Employee Resource Groups (ERG) to engage with.
- Culture of continuous development through training programs.
Societe Generale offers a hybrid work arrangement that offers employees the flexibility to work remotely, as well as on-site, in order to promote interaction and collaboration with colleagues while adhering to all SG standard protocols.
