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Remote Loan Processor Jobs in Surrey, BC (NOW HIRING)

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Remote Loan Processor information

What is a remote loan processor?

A remote loan processor works from a remote location interview applicants who are seeking loans. Your goal in this work from home career is to obtain the information necessary for them to get the desired financing. As a remote loan processor, some of your responsibilities include examining an applicant’s application for accuracy, interviewing applicants, and verifying an applicant’s financial and personal information. Other duties include verifying applicant references, investigating their background, forwarding findings to the appropriate loan professionals and the appraisal department, preparing loan request papers, and completing transactions between borrowers, sellers, and loan establishments once the borrower receives approval.

What does a remote loan processor do?

As a remote loan processor, your job is to work from home in a virtual office to review an application and other documents from a client. In this role, you may help decide whether to finance their loan, create a report, or talk with the client to get verification of specific pieces of information. Most remote loan processors specialize in specific areas, such as mortgages or retail lending. Aside from reviewing documents for completion, you also look for signs of fraud and help to safeguard lending institutions. Most remote loan processing takes place in a time-sensitive environment with often 24 hours or less for processing paperwork, so the ability to consistently multitask and prioritize your work is essential to success in this field.

What are the key skills and qualifications needed to thrive as a remote loan processor, and why are they important?

A Remote Loan Processor is a financial professional who reviews and processes loan applications from a remote location, rather than working in a traditional office setting. They gather and verify required documentation, ensure loan files are complete, and work closely with loan officers, underwriters, and clients to move applications through the approval process. Using secure digital platforms, remote loan processors manage tasks such as data entry, credit checks, and compliance reviews. Their work helps streamline the mortgage or loan approval process for banks, credit unions, and other lending institutions.

How do remote loan processors typically communicate and collaborate with underwriters, loan officers, and other team members?

Remote Loan Processors rely heavily on digital collaboration tools and secure loan origination systems to coordinate with underwriters, loan officers, and other stakeholders. Regular communication often occurs through email, secure messaging platforms, and scheduled video meetings to ensure all parties are aligned on document requirements and loan status. Staying organized and proactive in providing updates is key to maintaining smooth workflows and meeting tight deadlines. Team structures vary, but most organizations foster a supportive environment with dedicated channels for quick questions and issue resolution.

What is the difference between Remote Loan Processor vs Remote Underwriter?

AspectRemote Loan ProcessorRemote Underwriter
CredentialsLoan processing certifications, knowledge of mortgage documentsMortgage underwriting certifications, FHA/VA/Conventional knowledge
Work EnvironmentHome office, financial institutions, mortgage companiesHome office, financial institutions, mortgage companies
Industry UsageCommonly employed in mortgage lendingCommonly employed in mortgage lending
Primary RoleReview and verify loan documents, prepare files for approvalAssess risk, evaluate borrower qualifications, approve or deny loans

While both Remote Loan Processors and Remote Underwriters work in the mortgage industry and often from home, their roles differ. Loan Processors focus on gathering and verifying documents to prepare loans for approval, whereas Underwriters evaluate the risk and make final approval decisions. Understanding these distinctions helps job seekers identify the right position based on their skills and career goals.

How much do entry level remote loan processors make?

Entry-level remote loan processors typically earn between $35,000 and $50,000 annually, depending on the employer and location. Starting salaries may increase with experience, certifications, and proficiency with loan processing software and tools.
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What are the most commonly searched types of Loan Processor jobs in Surrey, BC?

The most popular types of Loan Processor jobs in Surrey, BC are:

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For Remote Loan Processor jobs in Surrey, BC, the most frequently searched job titles are:

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The top searched job categories for Remote Loan Processor jobs in Surrey, BC are:

Remote Loan Processor jobs near you
Infographic showing various Remote Loan Processor job openings in Surrey, BC as of June 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Senior Machine Learning Engineer

Vancouver, BC • Remote

Vancity
See more jobs at Vancityexternal

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 22 hours ago

Job description

Our Story & Purpose:
We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financial resilience for our members.
 
As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,700 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!
 
Your Role in Supporting Our Members:
As a Senior Machine Learning Engineer, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support business decision-making, automation, and operational efficiency. This role is highly hands-on and best suited for an engineer who can design, build, deploy, and operationalize machine learning models in enterprise production environments. You will work across the full ML lifecycle, including model development, feature engineering, MLOps, deployment automation, monitoring, and continuous improvement of machine learning systems. Success in this role is measured by scalable, reliable, and production-ready machine learning solutions—not proof-of-concepts or experimentation alone
 
This is a Full-time, Permanent role and will report directly to the Manager, Data Science & AI. This position is remote and open to candidates located in British Columbia or Ontario. While this position provides a remote work arrangement, you will be expected to be on-site for events and business demands
 
 
How You'll Make an Impact:
  • Applying Data Science and Machine Learning best practices to develop robust models and support data-driven decision-making across business domains
  • Applying machine learning and data science techniques such as forecasting, predictive modeling, classification, regression, recommendation, and optimization to solve business problems
  • Conducting experiments and evaluating models using appropriate statistical, technical, and business performance metrics
  • Architecting, building, deploying, and maintaining scalable machine learning models and AI solutions integrated into enterprise systems, applications, and operational workflows
  • Designing and implementing end-to-end ML workflows, including data preparation, feature engineering, model training, validation, deployment, optimization, and continuous monitoring in a high-scale production environment
  • Developing reusable machine learning components, feature pipelines, and model-serving frameworks to support multiple use cases and teams
  • Designing and implementing production-grade MLOps solutions using Azure ML, Databricks, MLflow, and related cloud technologies
  • Building and maintaining automated ML pipelines, feature engineering workflows, feature store patterns, and deployment processes for training, testing, monitoring, and retraining machine learning models
  • Implementing standards and best practices for model versioning, lifecycle management, governance, deployment automation, model performance monitoring, drift detection, data quality, operational health, and retraining triggers
  • Developing production-quality Python code, APIs, automation workflows, and machine learning services to integrate ML capabilities into business applications and processes
What You’ll Bring to the Team:
  • 10+ years of experience in Machine Learning Engineering, Data Science, Applied AI, Software Engineering, or related disciplines
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field
  • Strong hands-on experience building and deploying cloud-based applications and machine learning services
  • Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
  • Hands-on experience with industry-standard machine learning and deep learning frameworks such as PyTorch, TensorFlow, and Scikit-learn
  • Proven experience productionizing machine learning models and operating scalable, reliable ML systems in enterprise environments
  • Hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD pipelines, model lifecycle management, monitoring, and deployment automation
  • Strong understanding of API design and service integration, machine learning algorithms, statistical modeling, feature engineering, and model evaluation techniques
  • Proven ability to take solutions from prototype to production
Extra Skills That Set You Apart:
  • Exposure to machine learning use cases such as churn prediction, forecasting, predictive modeling, member or customer personalization, recommendation systems, marketing optimization, and experimentation frameworks such as A/B testing
  • Familiarity with advanced machine learning techniques including anomaly detection, graph neural networks, optimization methods, representation learning, causal inference, and Generative AI workflows
  • Experience integrating AI services into automation platforms such as UiPath or Power Automate and familiarity with AWS, GCP, Power BI, or Tableau
You’ll Thrive Here If You Are:
  • Production-Focused – You measure success by scalable, reliable, and production-ready machine learning solutions
  • Hands-On – You enjoy designing, building, deploying, and operationalizing machine learning solutions from end to end
  • Collaborative – You work effectively with data, platform, cloud, security, and business teams to deliver meaningful outcomes
  • Technically Curious – You continuously explore emerging technologies, machine learning techniques, and AI innovations
  • Quality-Driven – You prioritize engineering excellence, automation, testing, monitoring, and maintainable code
We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don't perfectly align with those listed.
 
What You’ll Earn:
This role offers a salary range of $113,100 to $153,000 per annum. The base pay offered may vary depending on factors such as relevant qualifications, skills, previous experience, and internal equity. As part of our total rewards package, employees may also be eligible for our annual incentive program, subject to program eligibility requirements.
 
Why You’ll Love Working Here:
A career at Vancity is more than just a job, you’re joining a tradition of change-makers who are creating lasting change for our communities. Beyond base pay, we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:
  • Living Wage Employer: We’re the largest private-sector Living Wage Employer in Canada and consistently ranked among Canada’s Top Employers
  • Customizable Benefits: Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs
  • Generous Vacation: New employees start with 3-4 weeks of vacation per year, with additional days earned over time
  • Extra Stat Holidays: In addition to BC’s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness
  • Immediate Health Coverage: Health and dental benefits begin on your hire date, with three levels of coverage to choose from
  • Defined Benefit Pension: Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone
Vancity Talent Programs:
Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.
 
This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process (including the application stage), we encourage you to let us know.
 
We’re here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.

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