Quantitative Analyst - Artificial Intelligence/Machine Learning
Core
Develop benchmark AI/ML models, perform model development and review, and conduct R&D for AI/ML methodologies within Model Risk Management.
Role type
Quantitative Analyst (AI/ML Validation)
Builds
AI/ML models for Marketing, Fraud, Credit Risk, and Bank Operations
Domain
Financial Services / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Advanced AI/ML algorithms, Statistical modeling, Python (Numpy, Pandas, scikit-learn), Deep learning architectures (MLP, RNN, CNN), Generative AI (RAG, Agentic AI), Model Risk Management (OCC SR 11-7)
Preferred skills
Random Forest, GBM, XGBoost, NLP, Computer Vision, LLM, PyTorch, Tensorflow/Keras, MXNet, LangChain, Llamaindex, Research publications, Financial industry experience
Technologies
Python, Numpy, Pandas, scikit-learn, PyTorch, Tensorflow/Keras, MXNet, LangChain, Llamaindex, RAG, Agentic AI
Responsibilities
Develop benchmark AI/ML models, Perform model development and algorithm selection, Conduct performance evaluation and monitoring, Develop technical guidance documents and training curriculum, Communicate validation outcomes to stakeholders
Seniority
Mid-Senior level (3-5+ years experience)
