Quantitative Analytics Manager
Core
Manage a team and hands-on deliver high-impact projects involving foundation models, large language models, multi-agent workflows, and responsible AI deployment at enterprise scale.
Role type
Senior IC Quantitative Analytics Manager (Gen AI & Foundation Models)
Builds
In-house Large Language models, Gen AI applications, Agentic AI systems, and scalable model training/deployment pipelines.
Domain
Financial Services / Generative AI / Machine Learning
Deliverable
production ML models | product features
Required skills
Foundation model training (pre-training, SFT, RLHF, RLAIF, PPO, DPO, GRPO), Agentic AI orchestration (LangChain, LangGraph, LlamaIndex, CrewAI), RAG applications, Distributed GPU training, Model optimization (LoRA, PEFT, distillation, quantization, pruning), Inference optimization, Cloud deployment (GCP), Risk mitigation, Capital computation, Team leadership, Strategic planning, Regulatory interaction
Preferred skills
PhD in CS/ML/AI, 5+ years AI/ML model development, Enterprise-scale AI governance experience
Technologies
GCP, LangChain, LangGraph, LlamaIndex, Google ADK, CrewAI, LoRA, PEFT
Responsibilities
Design, pre-train, fine-tune, and evaluate transformer-based foundation and small language models; Develop and deploy AI/ML solutions across generative AI, agentic systems, and traditional ML; Design and build LLM-powered agents and multi-agent systems; Monitor production models and AI systems for performance and drift; Manage allocation of people and financial resources for Quantitative Analytics; Mentor and guide talent development of direct reports
Seniority
Senior, hands-on IC with leadership
