Lead Quantitative Analytics Specialist - AI, Gen AI, Agentic AI, ML

About this role

Wells Fargo is seeking a Lead Quantitative Analytics Specialist to deliver advanced quantitative analysis and modeling that generate actionable insights and support sound, evidence-based decision-making. The role will apply sophisticated analytical techniques to evaluate complex data, assess risk, validate assumptions, and identify meaningful trends and relationships.

This is an opportunity to apply deep quantitative expertise to complex business and risk challenges while contributing to the Chief Operating Office's focus on strengthening Wells Fargo's risk and control infrastructure, execution discipline, and operational excellence.

In this role, you will

• Lead and contribute to moderately complex quantitative modeling and analytical initiatives , including model development, implementation, documentation, testing, and validation
• Apply statistical methods and quantitative analysis to monitor markets and assess credit and operational risk within a defined scope
• Analyze data and market developments to support short- and long-term business objectives and defined strategic initiatives
• Apply knowledge of stochastic methods, structured securities, and spread analysis to evaluate financial instruments, market behavior, and model results
• Review and assess quantitative models from technical, model-risk, audit, and market perspectives, identifying issues and recommending appropriate enhancements
• Define the structure and scope of assigned model reviews in accordance with established standards, policies, and control requirements
• Exercise independent judgment to develop, document, and evaluate analytical models that support product, marketing, risk, and business decisions
• Collaborate and consult with internal partners, model stakeholders, auditors, and regulatory-facing teams to address moderately complex model and analytical matters
• Present analytical findings, model limitations, risks, and recommendations clearly to technical and business stakeholders

Required

Qualifications

• 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: 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
• Experience in the field of data science and analytics with hands on working knowledge in related tools and technologies.
• Deep working knowledge of machine learning and deep learning , including model selection, training dynamics, overfitting, and evaluation tradeoffs.
• Practical mastery of prompt engineering and LLM behavior control , including structured prompting, chain-of-thought, robustness, and security considerations.
• Ability to design and optimize Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, chunking, and reranking techniques.
• Experience with model evaluation, monitoring, and Responsible AI , including bias, hallucination mitigation, governance, and human-in-the-loop validation.
• Strong MLOps/LLMOps capabilities , covering model lifecycle management, experiment tracking, deployment, cost control, and latency optimization.
• Ability to develop, analyze and optimize performance of Gen AI, Agentic AI solutions.
• Proficiency in Python-based data science and software engineering , with experience integrating GenAI into scalable, production-grade system
• Provide exploratory data analysis using Python/R/SAS / SQL
• Experience with Databases like oracle, Teradata, SQL server
• Advance Excel skills
• Data integration and clean up data for the usage
• Experience with structured data and semi-structured text or Excel files
• Tableau, Power BI, Shiny, Dash, HTML5
• Strong oral and written communication and consultative skills
• Proactively seek opportunities to increase the value of analysis
• Ensure partner transparency throughout the life of the project
• Ensure that analyses are delivered on time, while surpassing partner expectations
• Present findings to multiple levels of management
• Consult with partners to define issues/information needs
• Find opportunities in the data and able to communicate to the partners
• Trend Analysis, forecasting and pattern recognition
• Data mining and Insights

Job Expectations

• Ability to lead small cohort of junior analyst and provide technical guidance
• Strong collaboration skills
• Ability to translate analytical data into useful business information
• Critical thinking and strong problem solving skills
• Ability to learn the business aspects quickly
• knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.
• Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry.
• Ability to multi-task and prioritize between projects
• Ability to work independently and as part of a team.

Posting End Date

29 Oct 2026

Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remedi