Quantitative AI Engineer
Charlotte, NC, 28277, USA
USD 90K-148K (estimate) Mid-level Full Time
Tasks
- Apply Bayesian optimization for SAA hedging capital efficiency and surplus generation
- Build Python services integrating AXIS KRM and QuantLib
- Build self service chat tools and AI auto documentation
- Contribute to validation controls and reconciliation frameworks
- Design and deploy generative AI copilots and agentic workflows for asset modeling and ALM
- Develop ML models for prepayment credit migration and defaults
- Implement anomaly detection for valuation QA and model validation
- Implement retrieval augmented generation grounded in actuarial methods
- Maintain CI CD pipelines and follow code review best practices
Perks/Benefits
Skills/Tech-stack
Agentic AI | Anomaly Detection | Anthropic | Artificial Intelligence | Autogen | Azure OpenAI | Bayesian optimization | FastAPI | Generative AI | LLM APIs | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | NumPy | OpenAI | Pandas | Prompt engineering | PyTorch | Python | QuantLib | RAG | Retrieval-Augmented Generation | Scikit-learn | Semantic Kernel | TensorFlow | Vector Database | Vector Databases | XGBoost
Education
Regions
Countries
States
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