Wells Fargo is seeking a highly technical and hands-on Senior Lead for Mortgage Data Analytics (Senior Lead Quantitative Model Solutions Specialist) to own and lead the Mortgage Model Development Center's mortgage data analytics capability end-to-end. This role is fundamentally data- and analytics-first, requiring deep mortgage domain expertise and a strong quantitative mindset. The Senior Lead will be responsible for setting the vision, building the capability, and delivering analytical outcomes across mortgage-backed securities (MBS/EMBS/Loan Performance/Intex) and in-house or external loan level data sets, and AI-enabled workflows.
The Wells Fargo Investment Portfolio (IP) manages the Company's Available-For-Sale (AFS) and Held-To-Maturity (HTM) securities and loan portfolios, and the Reinsurance and Bank Owned Life Insurance (BOLI) businesses as part of the Finance group. IP also provides strategic and analytical balance sheet support to the bank, as well as a centralized, street-facing trade execution and hedging function and centralized mortgage modeling for the enterprise.
In this role, you will:
- Lead and own the Mortgage Model Development Center's mortgage data analytics capability, including strategy, roadmap, execution, and delivery outcomes.
- Build scalable analytics frameworks across MBS, EMBS, loan performance, Intex, and internal/external loan-level datasets.
- Develop hands-on Python-based tools for data ingestion, transformation, quality control, cohort analysis, feature engineering, and mortgage analytics.
- Partner with model development, validation, investment portfolio, technology, and business stakeholders to translate mortgage data into actionable insights.
- Establish standards for mortgage data quality, analytical rigor, documentation, controls, and repeatable production workflows.
- Drive adoption of AI-enabled workflows for data extraction, anomaly detection, summarization, and analytics acceleration.
- 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Deep experience with mortgage data, including MBS/EMBS, loan-level performance, agency datasets, Intex, prepayment, delinquency, default, and loss analytics.
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- Strong hands-on Python and SQL experience, including pandas, NumPy, PySpark, or comparable large-scale data analytics tools.
- Demonstrated experience owning or leading a data analytics function, including strategy, operating model, governance, and delivery accountability.
- Experience building reusable analytics tools, data pipelines, quality controls, dashboards, or production-grade analytical workflows.
- Ability to communicate complex mortgage data concepts clearly to senior stakeholders, modelers, validators, technologists, and business partners.
- Experience applying AI, machine learning, or automation techniques to financial data analytics, data quality, or unstructured data extraction.
- Ability to travel up to 10% of the time
- Must be able to work on-site
550 S Tyron Charlotte, NC
Posting End Date:
30 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.
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.
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To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
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Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
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Skills Required
- 7+ years of quantitative analytics experience
- Deep experience with mortgage data (MBS/EMBS, loan-level performance, agency datasets, Intex, prepayment, delinquency, default, loss analytics)
- Must be able to work on-site
- Ability to travel up to 10% of the time
- Strong hands-on Python and SQL experience (pandas, NumPy, PySpark)
- Experience owning or leading a data analytics function (strategy, governance, delivery)
- Experience building reusable analytics tools, data pipelines, quality controls, dashboards, or production-grade workflows
- Master's degree or higher in a quantitative discipline (preferred)
- Experience applying AI, machine learning, or automation to financial/unstructured data analytics
- Ability to communicate complex mortgage data concepts to senior stakeholders and cross-functional teams
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.
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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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