2021 Investment Management Summer Analyst Program - Morgan Stanley Real Estate Investing (New York City)
Applications for the 2021 program are now open and close soon (July 2020).
The Investment Management Summer Analyst Program is a 10-week program consisting of one week of training and nine weeks working within a specific IM team.
Across all IM teams, the curriculum is designed to equip Summer Analysts with the fundamental skills they need to be successful in IM.
During the 10-week program, Summer Analysts experience the culture and atmosphere of Morgan Stanley by performing a role similar to a Full-Time Analyst.
IM’s Real Estate Investing (REI) team offers the opportunity to learn from a leading global real estate investment platform that manages opportunistic and core investment strategies.
Opportunities with the REI team are in New York and San Francisco; this specific application is for New York.
You Will
Help execute business development initiatives
Work on several deal teams and gain exposure to senior-level financial and strategic decision-makers at some of the world’s largest real estate companies
Conduct market and financial due diligence on various real estate opportunities
Participate in transactions from the principal or private equity perspective on behalf of proprietary real estate investment funds, including North Haven opportunistic funds and the Prime Property Fund
Conduct investment underwriting, transaction execution, and create presentations regarding investment opportunities
QUALIFICATIONS
Pursuing a Bachelor's degree and will graduate between December 2021 and June 2022
Outstanding analytical and quantitative skills
Excellent communication skills, both verbal and written
Strong team player; ability to collaborate with colleagues across REI and the broader organization
Self-starter with the ability to work independently
Driven, highly motivated and results-focused
Strong organizational skills with the ability to manage time efficiently and effectively
Detail oriented and have the ability to work efficiently within tight time constraints
Proficiency in Excel, and experience with Argus modeling and presentations preferred