Mid Level Mortgage Assistant Jobs
Mid level mortgage assistant jobs go to professionals ready to own loan file workflows end to end, support senior officers with minimal oversight, and guide newer team members through compliance and processing steps. Openings run across Staffing & Recruiting, Banking & Financial Services, and Fintech, with Jobot, AmeriHome Mortgage Company, and KeyBank among the employers competing for mortgage assistants at this level now.
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Showing 5 of 62+ Mid Level Mortgage Assistant jobs
JOB SUMMARY
The Mortgage Warehouse Lending Data Analyst supports the Warehouse Lending Group through data analytics, reporting automation, dashboard development and maintenance, and process optimization initiatives. The primary focus of the role is to develop scalable reporting solutions, automate manual processes, improve data accessibility, and create analytical tools that support portfolio monitoring, decision-making, and business performance.
Working closely with Warehouse Lending, Credit Risk, the Chief Investment Office, Credit Review, Technology, and other stakeholders, the analyst will leverage data, automation, and emerging technologies, including artificial intelligence, to interpret trends, drive efficiencies and support strategic initiatives. The role also offers a career path into broader mortgage warehouse lending, financial analysis, counterparty risk management, and underwriting responsibilities.
CARREER DEVELOPMENT OPPORTUNITIES
- Gain exposure to mortgage warehouse lending operations and portfolio management.
- Participate in customer diligence meetings and management discussions.
- Develop knowledge of financial statement analysis and counterparty risk assessment.
- Support portfolio monitoring and risk measurement and management activities.
- Progress into more advanced analytical, risk management, and underwriting responsibilities.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Designs, develops, automates, and maintains recurring reports, dashboards, and management information packages.
- Extracts, validates, transforms, and analyzes data from multiple internal and external sources to support business decisions.
- Develops analytical models, reporting tools, and performance metrics that improve operational efficiency and reduce manual processes.
- Creates dashboards and visualizations using Power BI, Tableau, or similar business intelligence platforms.
- Identifies opportunities to streamline workflows through automation, advanced analytics, artificial intelligence, and other emerging technologies.
- Develops management reports, portfolio analytics, and presentation materials for senior leadership and committee meetings, including analysis of key insights and trends.
- Partners with business stakeholders to understand reporting needs and deliver scalable data and analytics solutions.
- Assists in the development of AI-powered tools, intelligent agents, automated workflows, and other technology solutions to enhance reporting and decision-making capabilities.
- Documents data sources, reporting processes, methodologies, and procedures to promote consistency and data integrity.
- Monitors industry trends and emerging technologies and recommends innovative solutions to improve business processes and analytical capabilities.
- Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
- Adheres to Bank policies and procedures and completes required training.
- Identifies and reports suspicious activity.
QUALIFICATIONS
Education
- Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, Economics, Finance, or a related field required. Equivalent combination of education and relevant experience will be considered.
Experience
- 3 years of experience extracting, transforming, validating, and analyzing data from multiple internal and external sources
- 3 years of experience developing automated reports, dashboards, analytical models, and business intelligence solutions
- 3 years of experience identifying and implementing opportunities to streamline workflows and improve operational efficiency through automation and technology
- Familiarity with artificial intelligence tools, large language models (LLMs), intelligent agents, or AI-enabled workflow solutions preferred
- Familiarity with AWS, Power Apps, SharePoint, or other data management and workflow platforms preferred
Knowledge, Skills, and Abilities
- Strong analytical, quantitative, and problem-solving skills.
- Ability to translate complex data into actionable business insights and recommendations.
- Strong verbal and written communication skills, including the ability to prepare reports, presentations, and executive-level summaries.
- Ability to manage multiple priorities and work effectively in a fast-paced environment.
- Curiosity and willingness to learn new technologies, tools, and business processes.
- Demonstrated interest in data analytics, automation, artificial intelligence, and process improvement.
- Ability to work collaboratively across business, technology, and operational teams.
- Self-motivated with a continuous improvement mindset and strong attention to detail.
Technical Skills:
- Python (Pandas, NumPy, data visualization, automation, and data analysis libraries)
- SQL
- Power BI, Tableau, or similar business intelligence and data visualization tools
- Advanced Microsoft Excel, including Power Query, data modeling, and complex data analysis
- Power Automate, VBA, or other process automation tools
Additional Information
- Candidates residing in locations within BankUnited's footprint may be given preference.
Compensation: $85,000-$95000
JOB SUMMARY
The Mortgage Warehouse Lending Data Analyst supports the Warehouse Lending Group through data analytics, reporting automation, dashboard development and maintenance, and process optimization initiatives. The primary focus of the role is to develop scalable reporting solutions, automate manual processes, improve data accessibility, and create analytical tools that support portfolio monitoring, decision-making, and business performance.
Working closely with Warehouse Lending, Credit Risk, the Chief Investment Office, Credit Review, Technology, and other stakeholders, the analyst will leverage data, automation, and emerging technologies, including artificial intelligence, to interpret trends, drive efficiencies and support strategic initiatives. The role also offers a career path into broader mortgage warehouse lending, financial analysis, counterparty risk management, and underwriting responsibilities.
CARREER DEVELOPMENT OPPORTUNITIES
- Gain exposure to mortgage warehouse lending operations and portfolio management.
- Participate in customer diligence meetings and management discussions.
- Develop knowledge of financial statement analysis and counterparty risk assessment.
- Support portfolio monitoring and risk measurement and management activities.
- Progress into more advanced analytical, risk management, and underwriting responsibilities.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Designs, develops, automates, and maintains recurring reports, dashboards, and management information packages.
- Extracts, validates, transforms, and analyzes data from multiple internal and external sources to support business decisions.
- Develops analytical models, reporting tools, and performance metrics that improve operational efficiency and reduce manual processes.
- Creates dashboards and visualizations using Power BI, Tableau, or similar business intelligence platforms.
- Identifies opportunities to streamline workflows through automation, advanced analytics, artificial intelligence, and other emerging technologies.
- Develops management reports, portfolio analytics, and presentation materials for senior leadership and committee meetings, including analysis of key insights and trends.
- Partners with business stakeholders to understand reporting needs and deliver scalable data and analytics solutions.
- Assists in the development of AI-powered tools, intelligent agents, automated workflows, and other technology solutions to enhance reporting and decision-making capabilities.
- Documents data sources, reporting processes, methodologies, and procedures to promote consistency and data integrity.
- Monitors industry trends and emerging technologies and recommends innovative solutions to improve business processes and analytical capabilities.
- Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
- Adheres to Bank policies and procedures and completes required training.
- Identifies and reports suspicious activity.
QUALIFICATIONS
Education
- Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, Economics, Finance, or a related field required. Equivalent combination of education and relevant experience will be considered.
Experience
- 3 years of experience extracting, transforming, validating, and analyzing data from multiple internal and external sources
- 3 years of experience developing automated reports, dashboards, analytical models, and business intelligence solutions
- 3 years of experience identifying and implementing opportunities to streamline workflows and improve operational efficiency through automation and technology
- Familiarity with artificial intelligence tools, large language models (LLMs), intelligent agents, or AI-enabled workflow solutions preferred
- Familiarity with AWS, Power Apps, SharePoint, or other data management and workflow platforms preferred
Knowledge, Skills, and Abilities
- Strong analytical, quantitative, and problem-solving skills.
- Ability to translate complex data into actionable business insights and recommendations.
- Strong verbal and written communication skills, including the ability to prepare reports, presentations, and executive-level summaries.
- Ability to manage multiple priorities and work effectively in a fast-paced environment.
- Curiosity and willingness to learn new technologies, tools, and business processes.
- Demonstrated interest in data analytics, automation, artificial intelligence, and process improvement.
- Ability to work collaboratively across business, technology, and operational teams.
- Self-motivated with a continuous improvement mindset and strong attention to detail.
Technical Skills:
- Python (Pandas, NumPy, data visualization, automation, and data analysis libraries)
- SQL
- Power BI, Tableau, or similar business intelligence and data visualization tools
- Advanced Microsoft Excel, including Power Query, data modeling, and complex data analysis
- Power Automate, VBA, or other process automation tools
Additional Information
- Candidates residing in locations within BankUnited's footprint may be given preference.
Compensation: $85,000-$95000
See All 62 Mid Level Mortgage Assistant Jobs
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Find JobsMid Level Mortgage Assistant Job Market
Who's Hiring
- Jobot28
- AmeriHome Mortgage Company5
- KeyBank4
- ICCU2
- Regions Bank2
Top Industries Hiring
- Staffing & Recruiting28
- Banking & Financial Services25
- Fintech1
- Insurance1
- Construction & Real Estate1
Mid Level Mortgage Assistant Jobs: Frequently Asked Questions
How do I get a mid level mortgage assistant job?
Position your application around ownership, not just task completion. Highlight loans you've processed independently, compliance issues you resolved, or systems you improved. Emphasize familiarity with LOS platforms, underwriting guidelines, and regulatory requirements like RESPA and TRID. Hiring managers at this level want to see that you've operated with real accountability, not just supported someone else's work.
Which companies hire mid level mortgage assistants?
Companies hiring mid level mortgage assistants right now include Jobot, AmeriHome Mortgage Company, and KeyBank, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of regional banks, independent mortgage companies, credit unions, and larger national lenders that need experienced support staff who can keep loan pipelines moving without close supervision.
Are there remote mid level mortgage assistant jobs?
Yes, though availability depends on the employer and state licensing requirements. About 74% of mid level mortgage assistant openings are remote or hybrid as of November 2026, reflecting how much of the documentation and communication work can be handled digitally. Some roles still require in-office presence for client-facing tasks or document handling, so check each listing carefully.
How do I move up to a mid level mortgage assistant role?
Moving from entry level to mid level means building consistent, independent performance across the full loan lifecycle. Focus on deepening your knowledge of underwriting requirements, closing procedures, and regulatory compliance. Take on more complex files, ask for ownership of specific pipeline stages, and document the outcomes you drive. Employers recognize mid level candidates by the breadth and reliability of their unsupervised work, not just time spent.
Which industries hire the most mid level mortgage assistants?
Mid Level mortgage assistant roles concentrate in Staffing & Recruiting, Banking & Financial Services, and Fintech, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because their loan volume and regulatory complexity require experienced assistants who can manage files and support officers without constant guidance, keeping operations efficient during both high-volume and slower market periods.