Wells Fargo is seeking a Senior Quantitative Analytics Specialist to join our team. This role supports the development, implementation, and enhancement of advanced analytical models and methodologies used to evaluate and manage credit risk. The successful candidate will leverage statistical, econometric, and machine learning techniques to deliver insights that support credit decisioning, portfolio management, and business strategy. This position offers an opportunity to collaborate with business partners, model developers, risk professionals and auditors while working with large-scale data and innovative analytical solutions.
In this role, you will:
- Perform highly complex activities related to creation, implementation, and documentation
- Use highly complex statistical theory to quantify, analyze and manage credit risk.
- Participate in the discussion related to analytical strategies, modeling and forecasting methods
- Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
- 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Masters degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Data analysis, modeling, and programming experience using SAS and Python or R
- Experience contributing to and maintaining code within a collaborative team environment.
- Significant analytic experience in statistical, econometric, and machine learning approaches to data analysis and modeling
- Experience working with relational databases and S3 or Iceberg data file systems and distributed data processing tools such as Spark
- Theoretical and applied knowledge pertinent to build Credit Decisioning models using advanced statistical techniques/machine learning for credit decisioning and account management
- Experience with linear model and Machine Learning techniques including time-series, OLS, logistic regression, hazard models, panel regression, gradient boosted decision trees
- This position offers a hybrid work schedule
- Current requirements are 3 days in-office?
- Willingness to work on-site at stated location on the job opening
- This position is not eligible for Visa sponsorship
- Specific compliance policies may apply regarding outside activities or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process
- 109667-MN-600 Wells Fargo, Minneapolis
- 109845-NC-Brigham Building, Charlotte
- 112847-TX-Las Colinas Bldg B, Irving Campus
- 137711-IA-Northstar Building, Des Moines
Minneapolis, Minnesota Pay Range: $153,000 - $239,000 USD Annual (this range may not be applicable to other locations)
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$139,000.00 - $239,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
4 Aug 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.
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.
#BI-Hybrid
Skills Required
- 4+ years of Quantitative Analytics experience or equivalent (work experience, training, military experience, education)
- Master's degree or higher in a quantitative discipline (mathematics, statistics, engineering, physics, economics, or computer science)
- Willingness to work on-site at stated location; hybrid schedule (current requirement: 3 days in-office)
- Position is not eligible for visa sponsorship
- Data analysis, modeling, and programming experience using SAS and Python or R
- Experience contributing to and maintaining code within a collaborative team environment
- Significant analytic experience in statistical, econometric, and machine learning approaches to data analysis and modeling
- Experience working with relational databases and S3 or Iceberg data file systems and distributed data processing tools such as Spark
- Theoretical and applied knowledge to build credit decisioning models using advanced statistical techniques and machine learning
- Experience with linear models and machine learning techniques including time-series, OLS, logistic regression, hazard models, panel regression, and gradient boosted decision trees
Wells Fargo Compensation & Benefits Highlights
-
Retirement Support — Retirement support is anchored by a dollar‑for‑dollar 401(k) match on employee contributions after one year of service, with an additional non‑matching company contribution for some lower‑paid employees. Access to an employee stock purchase plan further expands long‑term savings opportunities.
-
Parental & Family Support — Family supports include up to 16 weeks of paid parental leave available from the first day of employment, plus paid critical‑caregiving leave and extensive backup care options. Fertility, adoption, and surrogacy programs are highlighted with meaningful coverage and reimbursements, including a combined lifetime maximum up to $35,000 for eligible expenses.
-
Healthcare Strength — Health coverage is comprehensive from day one, spanning medical, dental, vision, mental health, prescriptions, and preventive care often fully covered in‑network. Employer cost‑sharing is emphasized alongside no‑cost counseling through the EAP within plan limits.
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.”
Gallery
Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
