Senior Quantitative Analytics Specialist (#001806)

Posted 5 Days Ago
Be an Early Applicant
Minneapolis, MN, USA
Hybrid
153K-239K Annually
Senior level
Fintech • Financial Services
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Develop, implement, and document advanced statistical, econometric, and machine learning models to forecast losses and capital requirements (PPNR). Analyze structured securities, manage market/credit/operational risk, support stress testing, and collaborate with auditors and regulators to influence global analytical strategies.
Summary Generated by Built In
At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do.
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Wells Fargo Bank N.A. seeks a Senior Quantitative Analytics Specialist in Minneapolis, MN.
Job Role and Responsibility:
Perform highly complex activities related to creation, implementation and documentation. Use highly complex statistical theory to quantify, analyze and manage markets. Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives. Utilize structured securities and provide expertise on theory and mathematics behind the data. Manage market, credit, and operational risks to forecast losses and compute capital requirements. Participate in the discussion related to analytical strategies, modeling and forecasting methods. Identify structure to influence global assessments, inclusive of technical, audit and market perspectives. Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills. Telecommuting is permitted up to 1 day a week. Position must appear in person to the location listed as the work address.
Travel required: 0%
Required Qualifications:
Degree required: Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative discipline.
Alternative degree required : PhD in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative discipline.
Amount and type of experience required: 4 years of experience in the job offered or in a related quantitative analytics role. Alternate combination of education and experience.
Alternative experience required: 1 year of experience in the job offered or in a related quantitative analytics role.
Specific skills required:
Specific skills required: • Data analysis, modeling, and programming experience using SAS and Python or R; • Significant analytic experience in statistical, econometric, and machine learning approaches to data analysis and modeling; • Experience working with relational databases and Hadoop data file systems; • Theoretical and applied knowledge pertinent to build Pre-Provision Net Revenue PPNR forecasting models using advanced statistical techniques/machine learning for stress testing; • Experience with linear model technique including time-series, OLS, logistic regression, hazard models, and panel regression.
Salary: $153,000 - $239,000
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.
$0.00 - $0.00
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
Posting End Date:
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.

Skills Required

  • Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative discipline
  • PhD in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative discipline
  • 4 years of experience in the job offered or in a related quantitative analytics role (alternate combination of education and experience)
  • 1 year of experience in the job offered or in a related quantitative analytics role (alternative experience)
  • Data analysis, modeling, and programming experience using SAS and Python or R
  • Significant analytic experience in statistical, econometric, and machine learning approaches
  • Experience working with relational databases and Hadoop data file systems
  • Theoretical and applied knowledge to build PPNR forecasting models using advanced statistical techniques/machine learning for stress testing
  • Experience with linear model techniques including time-series, OLS, logistic regression, hazard models, and panel regression
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
205,000 Employees
Year Founded: 1852

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

Gallery
Gallery
Gallery
Gallery

Wells Fargo Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
HQSan Francisco, CA
Bangalore, Bangalore
Belfast, GB
Bengaluru, Karnataka
Chandler, AZ
Charlotte, NC
Technology Center
Hyderabad, Telangana
Irving, TX
New York, NY
New York, NY
Phoenix, AZ
Learn more

Similar Jobs

Hybrid
Minneapolis, MN, USA
205000 Employees
24-31 Hourly

Wells Fargo Logo Wells Fargo

Branch Manager North Minneapolis

Fintech • Financial Services
Hybrid
Maple Grove, MN, USA
205000 Employees
41K-63K Hourly

Wells Fargo Logo Wells Fargo

Branch Manager North Minneapolis

Fintech • Financial Services
Hybrid
Brooklyn Center, MN, USA
205000 Employees
41K-63K Hourly

Wells Fargo Logo Wells Fargo

Branch Manager North Minneapolis

Fintech • Financial Services
Hybrid
New Hope, MN, USA
205000 Employees
41K-63K Hourly

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account