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The Role
Leads quantitative modeling and analytics initiatives supporting risk assessment, market monitoring, model validation, and business decisions. Develops and evaluates machine learning, deep learning, GenAI, and RAG solutions; conducts data mining, forecasting, trend analysis, and exploratory analysis. Communicates findings, model risks, and recommendations to technical and business stakeholders, collaborates with auditors and regulators, and guides junior analysts.
Summary Generated by Built In
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:
Required Qualifications:
Job Expectations:
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 remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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 remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Skills Required
- 5+ years of quantitative analytics experience or equivalent experience, training, military experience, or education
- Bachelor’s degree or higher in mathematics, statistics, engineering, physics, economics, computer science, or another quantitative discipline
- Experience in data science and analytics with hands-on use of related tools and technologies
- Deep working knowledge of machine learning and deep learning
- Practical mastery of prompt engineering and LLM behavior control
- Experience designing and optimizing Retrieval-Augmented Generation systems using embeddings, vector databases, chunking, and reranking
- Experience with model evaluation, monitoring, Responsible AI, bias mitigation, hallucination mitigation, governance, and human-in-the-loop validation
- Strong MLOps and LLMOps capabilities, including lifecycle management, experiment tracking, deployment, cost control, and latency optimization
- Experience developing, analyzing, and optimizing Generative AI and Agentic AI solutions
- Proficiency in Python-based data science and software engineering, including production-grade GenAI integration
- Experience conducting exploratory data analysis using Python, R, SAS, or SQL
- Experience with Oracle, Teradata, or SQL Server databases
- Advanced Excel skills
- Experience integrating and cleaning data
- Experience with structured data and semi-structured text or Excel files
- Experience with Tableau, Power BI, Shiny, Dash, or HTML5
- Strong oral, written, communication, and consultative skills
- Experience presenting analytical findings to multiple levels of management
- Knowledge of banking products or lines of business such as credit cards, mortgages, deposits, loans, or wealth management
- Knowledge of banking risk, marketing, operations, or supply chain functions
- Ability to lead junior analysts and provide technical guidance
- Strong collaboration, critical thinking, problem-solving, prioritization, and multitasking skills
Wells Fargo Compensation & Benefits Highlights
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Retirement Support — Retirement offerings are highlighted by a strong 401(k) with employer matching and added options like after‑tax contributions and an employee stock purchase plan, supporting long‑term savings. These features are presented as competitive elements of the total rewards package.
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Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, often starting on day one for eligible employees, with HSAs/FSAs, wellness incentives, and mental health resources available. Specialized care options, including fertility support, further enhance the health offering.
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Parental & Family Support — Paid parental leave of notable duration is available from the start of employment, alongside adoption/surrogacy/fertility programs. Caregiving and backup care resources deepen the family-oriented support.
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The Company
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
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Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
