Senior Quantitative Analytics Specialist, Credit Risk Modeling & Data Analytics

Posted Yesterday
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West Des Moines, IA, USA
Hybrid
139K-239K Annually
Senior level
Fintech • Financial Services
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Develops, implements, monitors, and enhances credit risk models for risk measurement, forecasting, stress testing, and portfolio management. Applies statistical, econometric, and machine learning methods to large datasets using Python, SQL, SAS, R, and Spark. Documents methodologies, supports model validation and audits, addresses regulatory findings, and communicates technical results to stakeholders, validators, auditors, regulators, and senior management.
Summary Generated by Built In
About this role:
Wells Fargo is seeking a Senior Quantitative Analytics Specialist (Senior Assistant Vice President) to support the development, implementation, and enhancement of credit risk models used for risk measurement, portfolio management, forecasting, and strategic decision-making. This role requires strong quantitative expertise, advanced programming skills, and the ability to communicate complex modeling concepts to technical and non-technical stakeholders. The successful candidate will work with large and complex datasets, apply statistical and machine learning techniques, and contribute to a strong model governance framework.
In this role, you will:
  • Develop, enhance and monitor credit risk models using advanced statistical, econometric, and machine learning methodologies to support business and risk management objectives.
  • Perform advanced coding, data analysis, and statistical modeling using Python, SQL, SAS, R, Spark, and other analytical tools to evaluate large complex datasets to identify risk trends, portfolio behavior, and emerging risks.
  • Design and execute model development strategies, including data preparation, feature engineering, model estimation, performance testing, and ongoing monitoring.
  • Perform quantitative analyses to support credit risk measurement, loss forecasting, stress testing, and portfolio management initiatives.
  • Partner with risk managers, business stakeholders, and technology teams to deliver scalable and impactful analytical solutions.
  • Document model development processes, assumptions, methodologies, testing results, and performance metrics in accordance with model governance standards.
  • Prepare and present model results, technical findings, and recommendations to model validators, auditors, regulators, and senior management.
  • Respond to model review findings and provide support during model validation, audit, and regulatory examinations.
  • Evaluate emerging statistical and machine learning techniques and recommend innovative approaches to enhance model performance and risk measurement capabilities.
  • Ensure compliance with Wells Fargo's model risk management framework, governance policies, and regulatory expectations.
  • Collaborate with cross-functional teams to improve analytical processes, enhance automation, and drive efficiencies in model development and reporting.
Required Qualifications:
  • 4+ 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
Desired Qualifications:
  • Demonstrated expertise in developing, implementing, and monitoring credit risk models using statistical, econometric, and machine learning techniques to support risk measurement, forecasting, portfolio management, and business decision-making.
  • Experience developing or supporting Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), CECL, stress testing, portfolio risk, or other credit risk models.
  • Experience applying advanced statistical and machine learning methodologies to solve complex risk management and predictive analytics challenges.
  • Strong programming and analytical skills with hands-on experience using Python, SAS, R, SQL, Spark, or similar big data technologies.
  • Experience analyzing, transforming, and managing large, complex datasets to support model development, implementation, monitoring, and reporting.
  • Ability to leverage data analytics and scalable computing frameworks to develop efficient analytical solutions and improve model performance.
  • Strong understanding of model governance practices, including model documentation, validation support, audit responses, and regulatory interactions.
  • Proven ability to document, defend, and communicate model methodologies, assumptions, limitations, performance results, and recommendations to validators, auditors, regulators, senior leadership, and other technical stakeholders.
  • Excellent verbal and written communication skills, with the ability to translate complex quantitative concepts into clear business insights.
Job Expectations:
  • This position offers a hybrid work schedule.
  • Willingness to work onsite at stated location on the job posting.
  • This position is 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
Job Posting Locations:
  • Three Wells Fargo Center, 401 S Tryon St, CHARLOTTE, NC
  • Las Colinas Bldg B, Irving Campus, IRVING, TX
  • West Des Moines Campus, WEST DES MOINES, IA
  • 600 Wells Fargo, Minneapolis, MN
Pay Range
Salary is just one component of Wells Fargo's total rewards package. Depending on the role, a Wells Fargo's employee may be eligible for additional forms of compensation, such as sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).
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
Posting End Date:
25 Sep 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 combination of work experience, training, military experience, or education
  • Bachelor's degree or higher in mathematics, statistics, engineering, physics, economics, computer science, or another quantitative discipline
  • Experience developing, implementing, and monitoring credit risk models
  • Experience with Probability of Default, Loss Given Default, Exposure at Default, CECL, stress testing, portfolio risk, or other credit risk models
  • Advanced statistical, econometric, and machine learning experience
  • Programming experience with Python, SAS, R, SQL, Spark, or similar big data technologies
  • Experience analyzing, transforming, and managing large, complex datasets
  • Experience using data analytics and scalable computing frameworks to develop efficient analytical solutions
  • Understanding of model governance, documentation, validation support, audit responses, and regulatory interactions
  • Ability to document, defend, and communicate model methodologies, assumptions, limitations, performance results, and recommendations
  • Excellent verbal and written communication skills
  • Willingness to work onsite at the stated location under a hybrid schedule

Wells Fargo Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage begins on day one with comprehensive medical, dental, and vision options, and the company subsidizes a substantial share of premiums for U.S. employees (varying by compensation band).
  • Retirement Support — A robust 401(k) program includes an employer match for eligible employees, with specifics laid out in plan materials and filings.
  • Parental & Family Support — Paid parental leave extends up to 16 weeks for eligible primary caregivers, alongside fertility coverage, adoption/surrogacy reimbursement, and lactation support.

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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.”

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