# Lead Quantitative Analytics Specialist at Wells Fargo

Wells Fargo is hiring a Lead Quantitative Analytics Specialist in Bengaluru, India. Level rates it Works on AI ●●●○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/b7d065d3-1dd3-498b-8d35-13e3b88b3564?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Bengaluru, India.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Bengaluru, India
- Posted: October 22, 2026
- Apply: https://jobsbylevel.com/go/b7d065d3-1dd3-498b-8d35-13e3b88b3564?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-quantitative-analytics-specialist-at-wells-fargo-8f9592

## Prepare for this job

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## Description

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

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