Senior Quant, Artificial Intelligence/Machine Learning
Tasks
- Communicate validation outcomes to stakeholders
- Conduct AI/ML research and development
- Create technical guidance documents
- Create white-papers
- Develop benchmark AI/ML models
- Develop training curriculum
- Develop validation guidance
- Mitigate model risk
- Monitor models
- Remediate model issues
- Review model development documentation
- Test AI ML models independently
- Test agentic AI models
- Test generative AI models
- Validate AI/ML models
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Adversarial Testing | Agent systems | Azure AI | Computer Vision | Deep learning | DeepEval | Google Vertex | Google Vertex AI | Gradient boosting | Gradient boosting machine | Hugging Face | Hugging Face Transformers | Keras | LLM Evaluation | LLM-as-a-Judge | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | Model Risk Management | Model risk | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | NumPy | OCC SR 26-2 | Pandas | PyTorch | Python | RAG | Ragas | Random Forest | Risk Management | SR 26 2 | Scikit-learn | Semantic similarity | TensorFlow | Vector Databases | Vertex AI | XGBoost
Education
Regions
Countries
States
Cities
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