Senior Quant, Artificial Intelligence/Machine Learning
Core
Develop benchmark AI/ML models, provide validation expertise, and conduct R&D for advanced AI/ML methodologies within a Model Risk Management center of excellence.
Role type
Senior IC Quantitative AI/ML Engineer (Model Validation & R&D)
Builds
Production AI/ML models, validation frameworks, technical guidance documents, and training curricula for financial applications.
Domain
Financial Services / Artificial Intelligence & Machine Learning
Deliverable
production ML models
Required skills
Advanced AI/ML algorithms, Python (Numpy, Pandas, scikit-learn), Deep learning architectures (MLP, RNN, CNN), Agentic AI orchestration, GenAI solutions (RAG, multi-agent systems), LLM evaluation techniques, PyTorch, TensorFlow/Keras, Hugging Face Transformers, LangChain, Cloud AI platforms (AWS Bedrock, Azure AI, Google Vertex AI)
Preferred skills
Statistical modeling, Computer science background, Financial industry experience, Model Risk Management (OCC SR 26-2), Research publications
Technologies
PyTorch, TensorFlow/Keras, Hugging Face Transformers, LangChain, LangGraph, OpenAI Agent SDK, DeepEval, LlamaIndex, Ragas, AWS Bedrock, Azure AI, Google Vertex AI
Responsibilities
Develop benchmark AI/ML models, conduct independent testing of advanced AI/ML and Generative AI models, design and deploy deep learning architectures, build and evaluate GenAI and Agentic AI solutions, develop technical guidance and training materials, communicate validation outcomes to stakeholders
Seniority
Senior, hands-on IC