RecruitNest Consulting

Role Description We are looking for a Loan Setup Specialist to join our client's mortgage operations team and ensure accurate and complete loan file preparation before underwriting. In this role, you will be responsible for: - Reviewing loan documents and verifying key loan details. - Ordering required third-party services to ensure loans meet eligibility and compliance standards. - Supporting end-to-end loan setup activities based on established checklists and guidelines to ensure smooth loan processing. Key Responsibilities - Review loan files and ensure all requirements in the Loan Setup Checklist are completed. - Check loan eligibility based on defined guidelines and requirements. - Verify e-signatures for all required loan documents. - Confirm rate lock details and ensure accuracy. - Review standard and prebuilt loan conditions for completeness. - Validate property address and county information (USPS verification). - Order required third-party reports, including a fraud report and a flood certificate. - Request verification of employment (VOE) through Equifax / The Work Number. - Order title and appraisal reports as required. - Check for PMI (Private Mortgage Insurance) requirements. - Verify taxes and insurance details, including proper escrow setup. - Ensure accuracy and completeness of loan data before submission to underwriting. - Coordinate with internal and external stakeholders to resolve missing or incomplete loan requirements. Qualifications - At least a K-12 Graduate. - At least 1 year of experience in US mortgage loan processing; experience using the Encompass tool is a big plus. - Knowledge of escrow, appraisal, title, and credit processes is an advantage. - Ability to work in a fast-paced, dynamic environment. - Proficient in basic computer navigation and troubleshooting. - Detail-oriented with the ability to handle multiple tasks. - Can start immediately, if possible. Company Description RecruitNest is your trusted career partner, dedicated to connecting you with the right opportunities that match your skills, goals, and aspirations. We help you take the next step in your professional journey with personalized guidance and support. Don't forget to follow us on LinkedIn to stay updated on upcoming and other job opportunities.

• Lead the development and delivery of full-stack applications using Python and TypeScript technologies. • Design and implement AI-powered features such as LLM integrations, RAG pipelines, and AI agents. • Build, scale, and maintain APIs, backend services, and distributed systems. • Make technical decisions related to architecture, frameworks, cloud infrastructure, and AI model usage. • Ensure application performance, scalability, reliability, and security across systems. • Manage and support cloud-based environments such as AWS, Azure, or GCP. • Collaborate with product, design, and engineering teams to deliver innovative solutions. • Mentor developers and promote engineering best practices, code quality, and technical excellence. • Guide the team in using AI tools and modern workflows to improve productivity and delivery speed. • Troubleshoot complex technical issues and drive continuous improvement initiatives.

• Develop and maintain full-stack web applications using Python and TypeScript frameworks. • Build and integrate AI-powered features such as LLMs, RAG pipelines, and AI agents. • Design, develop, and maintain APIs and backend services. • Integrate AI APIs and third-party services into production systems. • Collaborate with product and design teams to deliver new features and enhancements. • Transform prototypes and concepts into scalable, production-ready solutions. • Ensure application performance, scalability, security, and clean architecture practices. • Utilize AI tools and modern development workflows to improve productivity and delivery speed. • Troubleshoot, debug, and optimize applications across frontend and backend environments. • Contribute to continuous improvement of development processes and technical standards.

• Design and implement scalable data ingestion frameworks for multiple EHR and clinical systems • Build reusable connectors, integration patterns, and ETL or ELT pipelines with high reliability and data quality • Architect and maintain a unified, flexible data warehouse schema that supports diverse and evolving data sources • Implement monitoring, logging, and error-handling across data workflows • Own projects end-to-end, including technical design, implementation, documentation, and delivery • Partner with engineering leadership to define milestones, timelines, and dependencies • Take initiative in selecting the appropriate tech stack and designing solutions for complex healthcare data challenges.

• Design and implement scalable data ingestion frameworks for EHR and healthcare systems. • Build reusable connectors and integration patterns for diverse clinical platforms. • Architect and maintain flexible, unified data warehouse schemas. • Develop robust ETL/ELT pipelines with high reliability and data quality. • Set up monitoring, logging, and error-handling mechanisms. • Own projects end-to-end, from technical design to delivery. • Select and define the appropriate tech stack for projects.