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Responsible for originating residential mortgage loans, engaging with customers, taking applications, and ensuring timely loan closings while meeting sales goals.

Prepare and review investor services and REO title documentation, coordinate with Realtors, vendors and attorneys, manage orders in ResWare, perform pre-closing checks, maintain records and reports, and ensure timely, compliant closings.

Prepare loan files for funding, verify title and recordable documents, execute wires/checks, coordinate with vendors/clients, resolve funding discrepancies, perform post-funding compliance and reporting tasks.

As a Jr Mortgage Consultant, you will learn to sell mortgage products, engage with clients, prepare loan proposals, and meet monthly production goals while providing superior customer service.

Assist with mortgage applications and provide customer service while gaining knowledge in the mortgage industry. Engage with clients and achieve production goals.

Lead end-to-end delivery and scaling of non-mortgage consumer products, owning P&L and partner relationships. Drive product implementation, cross-functional alignment, go-to-market execution, post-launch performance, and regulatory/compliance governance. Partner with Technology, Data, Marketing, Sales, Servicing, Finance, Risk, and Legal to ensure timely, high-quality launches and ongoing optimization.

The Mortgage Consultant originates loans by responding to leads, engaging with customers, taking applications, and ensuring timely loan closings.

Lead projects to improve processes and systems for mortgage loan origination. Perform gap analysis, gather and document requirements, translate into features/user stories, design data flow diagrams and prototypes, support UAT, act as single point of contact, and collaborate with development and QA using tools like SQL, Lucid, Figma, and Azure DevOps.

Lead enterprise data platform strategy and execution: define architecture, unify data capabilities, drive cloud modernization, enable analytics/ML and real-time use cases, set standards, partner with business leaders, and build/mentor product and engineering teams to ensure reliability, performance, security, and compliance.

Design, build, and maintain scalable cloud data pipelines and platform components to power analytics, ML, and applications. Implement transformations, data quality checks, lineage and governance, optimize performance and cost, monitor platform health, and build reusable components across business units while collaborating with product and architecture teams.