Wells Fargo is seeking a Lead Quantitative Analytics Specialist to work as an AI/ML model validator with Model Risk Management Group, primarily focussing on fraud risk models.
In this role, you will:
- Perform and lead highly complex activities related to identification and quantification of model risk, test and challenge model development, implementation, and documentation
- Use highly complex statistical, machine learning or AI related theories to quantify, analyze and manage fraud risks related to business processes handled by related models to ensure adequate risk management and provide a high quality technical report
- Assess, review, and validate models predicting fraudulent activities and lead various risk management related activities along with providing insights regarding a wide array of business initiatives
- Utilize data science and business domain expertise and perform high quality risk management assessments based on theory and mathematics behind the data
- Manage traditional and emerging risk vectors in financial fraud space through various activities like validation, monitoring, and identification of risks related to model development
- Contribute, lead and participate in the discussion related to analytical strategies, fraud prevention modeling, and the steps along model development lifecycle
- Identify structure to influence risk assessments, inclusive of technical, audit and market perspectives and contribute to discussions on emerging technologies around this space
- Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
- Review and assess models inclusive of technical, audit, and market perspectives
- Identify structure and scope of review
- Enable decision making for fraud prevention or mitigation efforts with broad impact and act as key participant to develop and document analytical models
- Collaborate and consult with regulators and auditors
- Present results of analysis and strategies to multiple 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
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- Prior model development or model validation related exposure to Machine Learning models specifically in Fraud detection and fraud prevention space.
- Prior exposure to regulatory framework related to model risk management.
- Ability to utilize and enhance or tweak generative AI tools or Large language models for efficient handling of day-to-day activities.
Posting End Date:
28 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 demonstrated through work experience, training, military experience, or education
- Master’s degree or higher in mathematics, statistics, engineering, physics, economics, computer science, or another quantitative discipline
- Experience with machine learning model development or validation, particularly in fraud detection and prevention
- Exposure to regulatory frameworks related to model risk management
- Ability to use or enhance generative AI tools or large language models
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.
Wells Fargo Insights
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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