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Remote Fair Lending Data Analyst Jobs (NOW HIRING)

Upstart

Data Analyst, Home Lending

OR · On-site +1

... fair lending data, portfolio performance, and loan-level quality controls. They will help ensure ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Upstart

Data Analyst, Home Lending

Remote Travel requirements As a digital first company, the majority of your work can be ... fair hiring practices. If you require reasonable accommodation in completing an application ...

Treliant LLC

Fair Lending Consultant

$75 - $150/hr

Create and maintain gap analysis detail reporting. * Manage large data sets, troubleshoot, develop ... Remote Primary Location Salary Range: $75/hr - $150/hr Treliant offers a comprehensive, total ...

Treliant LLC

Fair Lending Consultant

$75 - $150/hr

Create and maintain gap analysis detail reporting. * Manage large data sets, troubleshoot, develop ... Remote Primary Location Salary Range: $75/hr - $150/hr Treliant offers a comprehensive, total ...

loanDepot

Fair Lending Specialist, Sr

Chandler, AZ · On-site +1

Responsible for executing fair lending risk management initiatives, including performance analytics ... Interprets analytical findings to perform root cause analysis and formulates strategic, data-driven ...

loanDepot

Fair Lending Specialist, Sr

Chandler, AZ · On-site +1

Responsible for executing fair lending risk management initiatives, including performance analytics ... Interprets analytical findings to perform root cause analysis and formulates strategic, data-driven ...

Ocean Bank

CRA Officer

Miami, FL · Remote

Review and analyze CRA, HMDA, ECOA, Fair Lending, and related consumer compliance activities to ... Experience with data analysis and reporting. * Knowledge of banking products and services.

Ocean Bank

CRA Officer

Miami, FL · On-site +1

Review and analyze CRA, HMDA, ECOA, Fair Lending, and related consumer compliance activities to ... Experience with data analysis and reporting. * Knowledge of banking products and services.

Landpoint

Remote Data Analyst

Fremont, CA · Remote

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

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Remote Fair Lending Data Analyst information

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$34K

$82.6K

$136K

How much do remote fair lending data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote fair lending 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 is a remote fair lending data analyst?

A Remote Fair Lending Data Analyst is a professional who analyzes lending data to ensure compliance with fair lending laws and regulations, such as the Equal Credit Opportunity Act (ECOA) and the Fair Housing Act. Working remotely, they use statistical and analytical methods to identify potential discriminatory patterns in lending practices. Their insights help financial institutions maintain fair and equitable access to credit while minimizing legal and reputational risks. These analysts often collaborate with compliance and risk teams to develop reports, conduct audits, and recommend corrective actions.

What is the difference between Remote Fair Lending Data Analyst vs Remote Credit Risk Analyst?

AspectRemote Fair Lending Data AnalystRemote Credit Risk Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; knowledge of fair lending lawsBachelor's in Finance, Economics, or related field; risk management certifications
Work EnvironmentFinancial institutions, regulatory agencies, or consulting firmsBanking, lending institutions, or financial services companies
Industry UsageFocuses on fair lending compliance and data analysisFocuses on assessing credit risk and loan approval decisions
Common Search/ComparisonOften compared for roles involving data analysis in lending complianceRelated but more risk assessment oriented

The Remote Fair Lending Data Analyst primarily focuses on analyzing data to ensure compliance with fair lending laws, while the Remote Credit Risk Analyst evaluates creditworthiness to manage lending risks. Both roles require strong analytical skills and finance knowledge but differ in their specific focus areas within the lending industry.

How does a remote fair lending data analyst typically collaborate with compliance and legal teams to ensure regulatory adherence?

As a Remote Fair Lending Data Analyst, you will regularly collaborate with compliance and legal teams to interpret regulatory requirements, analyze lending data for potential disparities, and help develop reports for audits or regulatory reviews. This collaboration often involves virtual meetings, shared documentation, and data presentations to ensure that lending practices meet fair lending laws such as the Equal Credit Opportunity Act (ECOA) and the Fair Housing Act. Effective communication and a proactive approach to identifying risks are crucial, as your analysis directly informs strategies to mitigate compliance issues.

What are the key skills and qualifications needed to thrive as a remote fair lending data analyst?

To thrive as a Remote Fair Lending Data Analyst, you need strong analytical skills, a solid understanding of fair lending laws and regulations, and a degree in statistics, finance, or a related field. Proficiency with data analysis tools such as SQL, SAS, Python, or R, and familiarity with compliance management systems is typically required. Excellent attention to detail, critical thinking, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. These skills ensure accurate analysis of lending practices, support regulatory compliance, and help organizations identify and address potential disparities in lending.

What cities are hiring for Remote Fair Lending Data Analyst jobs?

Cities with the most Remote Fair Lending Data Analyst job openings:

What are the most commonly searched types of Fair Lending Data Analyst jobs?

The most popular types of Fair Lending Data Analyst jobs are:

What states have the most Remote Fair Lending Data Analyst jobs?

States with the most job openings for Remote Fair Lending Data Analyst jobs include:

Remote Fair Lending Data Analyst jobs near you
Infographic showing various Remote Fair Lending Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst, Home Lending

Upstart

OR • On-site, Remote

Full-time

Re-posted 15 days ago

Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

The Team: 

Upstart's Home Lending Legal, Regulatory, and Risk Management team plays a critical role in enabling the growth and stability of our Home Lending business. We work cross-functionally with Operations, Engineering, Product, Legal, Risk, and Compliance to ensure that Upstart's home lending activities meet regulatory standards and align with best practices. Our team is focused on building scalable, effective, and forward-looking compliance oversight that empowers business success while managing risk.

The Data Analyst, Home Lending role will be critical in strengthening our first-line secured lending data, reporting, and risk oversight capabilities. The ideal candidate will own and support regulatory and management reporting across HMDA, CRA, Call Reporting, fair lending data, portfolio performance, and loan-level quality controls. They will help ensure our data pipelines, reconciliations, dashboards, and analytical packages are accurate, timely, and exam-ready, while partnering cross-functionally with compliance, risk, operations, and business teams in a highly regulated lending environment

How you'll make an impact

  • Own first-line secured lending data and reporting support, including regulatory reporting inputs, data integrity, reconciliations, and timely loan-level reporting
  • Lead regulatory and risk reporting for home lending, including filing our HMDA LAR, mapping Call Report feeds, tracking CRA activity, and performing loan-level quality checks on data used for fair lending and compliance testing
  • Produce risk dashboards and management reporting across portfolio, channel, geography, delinquency, vintage, concentration, and product performance
  • Maintain core data pipelines, controls, and aggregation capabilities supporting reliable product- and portfolio-level reporting
  • Provide reporting for product risk oversight, including channel, underwriting, pricing, override, and exception reporting
  • Support exams, committees, and business continuity planning through data extracts, analytical packages, reporting materials, and recovery-planning inputs
  •  

Minimum Qualifications 

  • 5+ years of experience with data collection, reporting, or compliance reporting and monitoring.
  • Strong understanding of mortgage lending operations and regulatory data requirements.
  • Excellent analytical, organizational, and problem-solving skills.
  • Ability to work cross-functionally and manage deadlines in a highly regulated environment.
  • Proficiency with loan origination, compliance, or data reporting systems.

Preferred Qualifications

  • Prior experience preparing HMDA LAR, CRA data, and Call Report submissions.
  • Familiarity with fair lending, mortgage compliance, or consumer lending compliance.
  • Experience supporting regulatory exams, audits, or compliance testing.

Position location This role is available in the following locations: Remote 

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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