Loan Assistance Jobs in Remote

139,553 open positions · Updated daily

Looking for Loan Assistance jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Loan Assistance position in the Remote area.

Insights Manager

Company: DISQO

Location: Remote

Posted Jan 25, 2025

DISQO is seeking a data-driven insights leader to join their Ad Measurement team. The ideal candidate will have a passion for insights and innovation in digital and media spaces, with a strong background in consumer research and marketing analytics. The role involves championing customer relationships, driving end-to-end ad measurement solutions deployment, and contributing to process optimization. DISQO offers a positive, performance-oriented workplace with competitive benefits and a flexible hybrid approach.

Senior Software Engineer- Syft Integration

Company: Xero

Location: Remote

Posted Jan 25, 2025

Xero is a user-friendly platform that supports small businesses and their advisors in growing and thriving. The company's purpose is to make life better for people in small businesses, their advisors, and communities worldwide. Xero is seeking an Engineer to integrate Syft Analytics into their ecosystem, contributing to building reliable, scalable solutions and creating actionable insights for customers. The role involves hands-on technical tasks, leading the team, driving innovation, collaborating effectively, and solving complex problems.

People Analytics & Reporting Manager

Company: DigitalOcean

Location: Hinganghāt, India / Remote

Posted Jan 25, 2025

Software Engineer- Syft Integration

Company: Xero

Location: Remote

Posted Jan 25, 2025

Xero is a user-friendly platform that supports small businesses and their advisors in growing and thriving. The company's purpose is to make life better for people in small businesses, their advisors, and communities worldwide. Xero is seeking a Software Engineer to integrate Syft Analytics, a leading global cloud-based reporting, insights, and analytics platform. The role involves delivering high-impact projects, collaborating with cross-functional teams, and developing high-quality software that transforms complex data into actionable insights. Xero offers generous paid leave, wellbeing support, private medical insurance, gym passes, employee resource groups, 26 weeks of paid parental leave, and many other benefits.

Frequently Asked Questions

What are the typical salary ranges for Loan Assistance roles by seniority?
Entry‑level Loan Processors and Assistants typically earn $45,000–$65,000 annually, mid‑level professionals with 3–5 years of experience command $65,000–$90,000, and senior Underwriters or Loan Officers with 7–10 years of experience can command $90,000–$120,000, depending on region and company size.
What skills and certifications are required for a career in Loan Assistance?
Core skills include proficiency with loan origination systems (LOS) such as Ellie Mae Encompass or Calyx, understanding of FICO score calculations, strong Excel and SQL knowledge, and customer‑service acumen. Certifications like the Nationwide Mortgage Licensing System (NMLS), Certified Loan Officer (CLO), or Certified Mortgage Consultant (CMC) are highly valued and often required for underwriting or loan officer tracks.
Is remote work available for Loan Assistance positions?
Many Loan Assistance roles are fully remote or hybrid. Companies deploy cloud‑based LOS, secure VPNs, and collaboration tools (Zoom, Microsoft Teams, Slack) to enable remote document review, underwriting, and client communication while maintaining compliance with data‑privacy regulations.
What career progression paths exist within Loan Assistance?
Typical progression starts as a Loan Processor, moves to Senior Processor or Underwriter, then to Loan Officer or Compliance Analyst, and can advance to Risk Manager, Operations Manager, or Chief Risk Officer. Continuous skill development and certifications accelerate upward mobility.
What industry trends are shaping the future of Loan Assistance?
Key trends include AI‑driven underwriting that reduces manual review time, blockchain‑enabled title and escrow processing, ESG‑focused lending criteria, and a shift toward subscription‑based mortgage services. Automation of routine tasks is increasing, making data‑analytics skills more critical for future Loan Assistance professionals.

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