Description Fannie Mae is a leading source of financing for mortgage lenders, providing access to affordable mortgage financing in all markets at all times. Our mission is to facilitate equitable and sustainable access to homeownership and quality affordable rental housing across America. We are seeking a highly skilled and detail-oriented Multi-Family Commercial Real Estate Underwriter to join our team. This role focuses on conducting fraud reviews and supporting a backlog of fraud alerts on loan applications. The ideal candidate will have a strong background in commercial real estate underwriting, with a specific focus on multi-family properties, and experience in fraud detection and prevention. Key Responsibilities: + Underwriting Multi-Family Loans: Evaluate and underwrite multi-family commercial real estate loan applications, ensuring compliance with Fannie Mae's guidelines and standards. + Fraud Detection and Review: Conduct thorough fraud reviews on loan applications, identifying and investigating potential fraudulent activities. + Backlog Management: Support the resolution of a backlog of fraud alerts, prioritizing and addressing alerts in a timely and efficient manner. + Risk Assessment: Analyze and assess the risk associated with loan applications, including borrower creditworthiness, property value, and market conditions. + Documentation and Reporting: Prepare detailed reports on findings from fraud reviews and underwriting assessments, documenting any discrepancies or issues identified. + Collaboration: Work closely with internal teams, including risk management, legal, and compliance, to ensure comprehensive fraud detection and prevention. + Training and Development: Stay updated on industry trends, fraud schemes, and regulatory changes, and participate in ongoing training and development programs. Qualifications: + Education: Bachelor's degree in finance, real estate, business, or a related field. Advanced degree or relevant certifications (e.g., Certified Fraud Examiner) are a plus. + Experience: Minimum of 5 years of experience in commercial real estate underwriting, with a focus on multi-family properties. Experience in fraud detection and prevention is highly desirable. + Skills: + Strong analytical and problem-solving skills. + Excellent attention to detail and accuracy. + Proficiency in financial analysis and risk assessment. + Strong written and verbal communication skills. + Ability to work independently and manage multiple tasks simultaneously. + Proficiency in relevant software and tools (e.g., underwriting software, fraud detection tools). Pay and Benefits The pay range for this position is $60.00 - $70.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision• Critical Illness, Accident, and Hospital• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available• Life Insurance (Voluntary Life & AD&D for the employee and dependents)• Short and long-term disability• Health Spending Account (HSA)• Transportation benefits• Employee Assistance Program• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Feb 7, 2025. About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.