Mortgage Production Senior Analyst

MetLife, Inc. (NYSE: MET), through its subsidiaries and affiliates (“MetLife”), is one of the largest life insurance companies in the world. Founded in 1868, MetLife is a global provider of life insurance, annuities, employee benefits and asset management. Serving approximately 100 million customers, MetLife has operations in nearly 50 countries and holds leading market positions in the United States, Japan, Latin America, Asia, Europe and the Middle East.

The Analyst function is a support function for the Mortgage team (Mortgage Production and Loan Management) for the MetLife General Account portfolio, investment management clients, and debt fund.

**Principal Responsibilities:** * Support the Mortgage Team in sourcing and originating new commercial real estate loans. * Assist in the underwriting and valuation of commercial real estate assets for new loans. * Provide in-depth analysis and assist with the preparation of new transaction approval memoranda. * Assist with due diligence, data input, information collection efforts, and the closing process. * Support loan asset management initiatives of the existing real estate debt portfolio including borrower requests, third party investor compliance, internal reporting, post-closing requirements, lease reviews, draw requests, loan boarding, and portfolio surveillance. * Assist the Mortgage Team on the existing portfolio with valuations, mortgage ratings, financial statement reviews, and data entry. * Provide systems and database support, and assist with property inspections. * Research markets, company and industry data and financial market information. **Dimensions:** * Participate in origination and management of investments for general account, investment management clients, and debt fund.

**Required:** * Bachelor’s degree. * 2 years of experience with commercial real estate valuation and discounted cash flow analysis. **Preferred:** * Bachelor’s degree Real Estate or Finance preferred. * MBA a plus. * Results orientated team player. * Emphasis on communication skills (both oral and written) and ability to handle multiple assignments. * Strong quantitative and computer skills, specifically advanced Excel modeling. * Preference given to candidates who have relevant experience (knowledge of Argus, Excel, Word and PowerPoint).