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Mortgage Data Analyst Jobs (NOW HIRING)

Collateral Analysis Temp Job Responsibilities (include but not limited to): * Assist in the data analysis aspects of the mortgage List Load Process. This includes reviewing member submitted loan ...

Analyze mortgage data across the full loan lifecycle (origination, underwriting, closing, servicing, and secondary market) * Own alignment of enterprise mortgage data to MISMO standards, logical data ...

Lead Data Modeler

Charlotte, NC · On-site

$53.50 - $69.25/hr

This role requires a deep understanding of mortgage data, loan lifecycle processes, regulatory ... Enable self-service analytics and future-state regulatory reporting capabilities.

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Senior Data Analyst - Mortgage Analytics We are seeking an experienced Senior Data Analyst to join a mortgage analytics team supporting business performance, risk monitoring, reporting, and data ...

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Mortgage Data Analyst information

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$34K

$82.6K

$136K

How much do mortgage data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for mortgage data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a mortgage data analyst do?

A Mortgage Data Analyst is responsible for collecting, analyzing, and interpreting data related to mortgage loans and lending practices. They use statistical tools and software to identify trends, assess risk, and generate reports that help lenders make informed decisions. Their work helps optimize loan processes, ensure compliance with regulations, and improve customer experience. Mortgage Data Analysts often collaborate with underwriting, risk management, and IT teams to support a company's strategic goals.

What are the key skills and qualifications needed to thrive as a mortgage data analyst?

To thrive as a Mortgage Data Analyst, you need a strong background in data analysis, financial modeling, and an understanding of mortgage lending practices, often supported by a degree in finance, statistics, or a related field. Familiarity with data analytics tools like SQL, Python, Excel, and mortgage software systems is typically required, along with certifications such as Certified Mortgage Banker (CMB) being advantageous. Analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessments, regulatory compliance, and data-driven decision-making in the mortgage industry.

What are some common challenges faced by mortgage data analysts, and how can they be addressed?

Mortgage Data Analysts often encounter challenges such as managing large volumes of complex data from multiple sources, ensuring data accuracy, and keeping up with regulatory changes in the mortgage industry. Addressing these challenges requires strong attention to detail, proficiency with data analysis tools (like SQL, Excel, and Python), and continuous learning to stay updated on industry regulations. Collaboration with IT, compliance, and loan processing teams is essential to verify data integrity and implement process improvements, making strong communication skills equally important.

What is the difference between Mortgage Data Analyst vs Mortgage Underwriter?

AspectMortgage Data AnalystMortgage Underwriter
Required CredentialsTypically a bachelor's degree in finance, economics, or related field; certifications like CAMS or CFA are a plusUsually a bachelor's degree in finance, economics, or related; certifications like MLO or FHA approval may be required
Work EnvironmentData analysis teams, financial institutions, or mortgage companiesLoan processing departments, banks, or mortgage lenders
Employer & Industry UsageUsed across mortgage lenders, banks, and financial services for data insightsPrimarily in mortgage lending, assessing loan risk and compliance

The Mortgage Data Analyst focuses on analyzing mortgage data to identify trends and support decision-making, while the Mortgage Underwriter evaluates individual loan applications to determine approval risk. Both roles require financial knowledge and work within mortgage institutions, but their core responsibilities differ significantly.

More about Mortgage Data Analyst jobs

Who are the top companies hiring for Mortgage Data Analyst jobs?

The top employers for Mortgage Data Analyst jobs are:

What states have the most Mortgage Data Analyst jobs?

States with the most job openings for Mortgage Data Analyst jobs include:

Infographic showing various Mortgage Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Lead Mortgage Data Analytics Specialist

Wells Fargo

Charlotte, NC • On-site

Full-time

Re-posted 15 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 713 frontline employees who took The Breakroom Quiz

89th of 175 rated banks


Job description

About this role:

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.


Required Qualifications:

  • 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

Posting Locations:

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, visitDisability 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.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. 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. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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