OakNorth

OakNorth

Commercial Real Estate Loan Closing Associate

New York

Sponsorship not specified$90k-$120kDetected 42 days ago
Project ManagementResearchCommunicationAdaptabilityMicrosoft Office

About the role

  • We are looking for a Commercial Real Estate Loan Closing Associate to join our US Legal & Transaction Management team, supporting the execution and ongoing management of lending transactions.

Responsibilities

  • Support transaction execution by preparing, reviewing, and managing legal documentation (amendment letters, waiver requests, security documents, signature pages, etc.).
  • Support due diligence processes, including insurance reviews, lease assessments, zoning report reviews, and other diligence as needed.
  • Review term sheets, credit papers and draft loan documents for alignment of deal terms.
  • Manage deal lists while maintaining status on all outstanding diligence needed to clear a loan for closing.
  • Conduct legal research, summarize findings, and support senior team members on complex matters.
  • Use digital tools (including AI-enabled platforms) to streamline document review and transaction management.
  • Good drafting ability and comfort reviewing complex legal and regulatory documents.

Requirements

  • YOU'LL BE A GREAT FIT IF YOU HAVE…

Nice to have

  • Proficiency in Microsoft Office
  • familiarity with digital/AI tools a plus.

Compensation

  • Salary - $90k - $120k based on experience

Benefits

  • Medical Care (managed through Insperity) - employees can add their family to their plan if needed
  • Dental & Vision bundle
  • 20 days Holiday

Company info

  • At OakNorth, we're on a mission to empower ambitious businesses and the communities they serve.
  • Since 2015, we've lent over $21 billion across the UK and US, helped create more than 58,000 new homes and 36,000 new jobs, and supported hundreds of thousands of personal savers - all while driving economic growth in the markets we serve.

This listing is sourced directly from OakNorth's careers page and normalized into a canonical job model.