Wf
Senior Lead Mortgage Data Analytics Specialist
CHARLOTTE, NC · Senior
Sponsorship not specifiedDetected 10 hours ago
PythonSQLMachine LearningPandasNumPyData AnalysisData EngineeringStatisticsCompliance
About the role
- This role is fundamentally data- and analytics-first, requiring deep mortgage domain expertise and a strong quantitative mindset.
- Establish standards for mortgage data quality, analytical rigor, documentation, controls, and repeatable production workflows.
Responsibilities
- 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.
- Drive adoption of AI-enabled workflows for data extraction, anomaly detection, summarization, and analytics acceleration.
- 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.
Requirements
- Ability to travel up to 10% of the time
- 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.
Benefits
- Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Company info
- WFC) is a leading financial services company that has approximately $2.1 trillion in assets.
- 33 on Fortune's 2025 rankings of America's largest corporations.
- News, insights, and perspectives from Wells Fargo are also available at Wells Fargo Stories.
- 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.
- 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.
Equal opportunity
- We Value Equal Opportunity Wells Fargo is an equal opportunity employer.
- Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
This listing is sourced directly from Wf's careers page and normalized into a canonical job model.