Senior Quantitative Analytics Specialist

Overview

Wells Fargo is seeking a Senior Quantitative Analytics Specialist to contribute hands-on to foundation model, Gen AI and Agentic AI projects supporting the bank's lines of business within the Model, Methodology and Research (MMR) team.

What you'll do

• Perform highly complex activities related to creation, implementation, and documentation.
• Use highly complex statistical theory to quantify, analyze and manage markets.
• Forecast losses and compute capital requirements, providing insights regarding a wide array of business initiatives.
• Utilize structured securities and provide expertise on the theory and mathematics behind the data.
• Manage market, credit, and operational risks to forecast losses and compute capital requirements.
• Participate in discussions related to analytical strategies, modeling and forecasting methods.
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives.
• Collaborate and consult with regulators, auditors and technically oriented individuals.
• Design, pre-train, fine-tune, and evaluate transformer-based, foundation, and small language models (SLMs).
• Develop and deploy AI and machine learning solutions across generative AI, agentic systems, and traditional machine learning applications.
• Design and build LLM-powered agents and multi-agent systems capable of planning, reasoning, task orchestration, and human-in-the-loop collaboration.
• Monitor production models and AI systems, evaluating performance, stability, and model drift through testing and analytics frameworks.
• Collaborate with cross-functional teams, technical experts, and business leaders across the organization.
• Apply AI, machine learning, and generative AI techniques to solve complex business problems.
• Build and optimize scalable model training and deployment pipelines.
• Leverage distributed computing and advanced training techniques to improve model performance and efficiency.
• Enhance model performance through distillation, quantization, and pruning.
• Optimize inference speed, latency, throughput, and cost for production AI systems.

What you'll need

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, education.
• Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.

Nice to have

• Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, Engineering or related quantitative field.
• 4+ years of experience in AI/ML model development.
• 1+ year of experience building Foundation Models, Gen AI and Agentic AI applications.
• Strong quantitative and analytical skills, with the ability to apply data analysis, modeling, visualization, statistics, research, and generative AI to generate insights, adapt quickly, and support innovative solutions.
• Ability to execute with urgency, apply data and software engineering skills to design, develop, and deliver scalable solutions, and drive operational excellence with strong data management and an enterprise mindset.
• Strong communication skills, with the ability to foster an inclusive environment and actively seek, apply, and respond to feedback in collaborative analytical settings.
• Strong business acumen with a commitment to providing excellent service and supporting data-informed business outcomes.
• Ability to act with integrity, support risk assessments, and apply risk controls to help manage risk in a disciplined, data-driven environment.
• Experience with pre-training, supervised fine-tuning (SFT) and post-training methodologies including RLHF, RLAIF, PPO, DPO, and GRPO.
• Experience training and deploying models in cloud environments, including GCP.
• Experience with multi-agent architectures and orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Google's ADK, CrewAI.
• Experience with Retrieval-Augmented Generation (RAG) applications and intelligent agent deployment.
• Experience with distributed GPU training.
• Experience with efficient model tuning approaches such as LoRA and PEFT.

Details

• Location: Hyderabad, India.
• Posting end date: 6 Nov 2026; the posting may come down early due to volume of applicants.