Senior Analyst, Model Risk Management
Tasks
- Assess model impact and intrinsic risk
- Collaborate cross functionally to collect documentation
- Conduct model validation reviews
- Enforce model lifecycle standards
- Evaluate model risks and guardrails
- Maintain model risk inventory
- Manage model risk program
- Monitor model performance
- Optimize fraud model thresholds
- Perform model governance and documentation
- Prepare validation reports and executive materials
- Research regulatory and industry guidance
- Support model risk training and stakeholder updates
- Track validation issues to closure
- Validate fraud models
- Validate generative ai systems
Perks/Benefits
Skills/Tech-stack
AWS | Adversarial Attacks | Airflow | Bias/fairness | CI/CD | Calibration | Class imbalance | Class imbalance handling | Data Privacy | Data leakage | Embeddings | Explainability | Fraud Detection | Generative AI | LLM | LightGBM | Machine Learning | Model Monitoring | Model Validation | Precision-recall | Prompt engineering | Prompt injection | PyTorch | Python | RAG | SQL | Scikit-learn | Spark | Statistical Analysis | TensorFlow | Testing | Threshold Optimization | Version control | XGBoost
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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