Data Analyst and Model Validator
2 weeks ago
The Societe Generale Risk Management Department plays a crucial role in the bank's sustainable growth by leveraging its expertise in risk analysis, management techniques, and understanding of risks. As part of this team, you will contribute to the second line of defense for model risk management.
Key Responsibilities:- Model Review: Conduct independent assessments of model design and conceptual soundness through quantitative analyses, statistical tests, and challenger models for benchmarking.
- Data Quality: Verify data inputs, transformations, and outputs using advanced statistical techniques.
- 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.
Skill Requirements:
Mandatory Skills:
- 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, with advanced knowledge of statistics, econometrics, and machine learning.
- Data Management: Experience working with large datasets and quantitative analysis.
- Communication: Excellent written and verbal communication skills for working with both technical and non-technical staff.
Estimated Salary Range: $80,000 - $120,000 per year, depending on qualifications and experience. Benefits include 20 vacation days + 4 personal days, supportive leave policies, health spending accounts, and training opportunities.
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