Charlotte, North Carolina, United States · On-site
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Charlotte, North Carolina, United States · On-site
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Charlotte, North Carolina, United States · Hybrid
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Charlotte, North Carolina, United States · Hybrid
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Charlotte, North Carolina, United States · On-site
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Charlotte, North Carolina, United States · On-site
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Charlotte, North Carolina, United States · On-site
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Charlotte, North Carolina, United States · On-site
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Charlotte, North Carolina, United States · Hybrid
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Charlotte, North Carolina, United States · On-site
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Charlotte, North Carolina, United States · Hybrid
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Charlotte, North Carolina, United States · Hybrid
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Charlotte, North Carolina, United States · On-site
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Chicago, Illinois, United States · Hybrid
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Charlotte, North Carolina, United States · On-site
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Charlotte, North Carolina, United States · Hybrid
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Charlotte, North Carolina, United States · Hybrid
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Charlotte, North Carolina, United States · On-site
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Charlotte, North Carolina, United States • On-site
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Lead the Mortgage Model Development Center's data analytics capability by setting the strategy and building scalable frameworks for MBS and loan-level datasets. Develop Python-based tools for data transformation and drive the adoption of AI-enabled workflows for financial analytics.
Requires over 7 years of quantitative analytics experience with deep expertise in mortgage data, including prepayment and delinquency analytics. A postgraduate degree in a quantitative discipline and proficiency in Python and SQL are highly desired.
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.
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.
Desired Qualifications:
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.
Job Expectations:
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.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
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.
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with approximately $1.9 trillion in assets. Wells Fargo’s vision is to satisfy our customers’ financial needs and help them succeed financially. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through more than 7,300 locations, 12,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in over 40 countries and territories to support customers who conduct business in the global economy. With approximately 250,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 41 on Fortune’s 2022 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories. Relevant military experience is considered for veterans and transitioning service men and women. 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.© 2016 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
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Based on 303 listings with disclosed salaries, most data & analytics jobs in Charlotte, NC pay between $70k–$172k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 821 open data & analytics positions in Charlotte, NC listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Bank of America, Truist, Wells Fargo, SMBC Group, American Addiction Centers, among others. Browse the listings above to see every active employer.
Yes — 462 of the 821 open data & analytics positions offer remote or hybrid work (57 remote, 405 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
