SPG – CRE and Warehouse Lending Desk Strategist

  • Competitive
  • New York, NY, USA New York NY US
  • Permanent, Full time
  • Morgan Stanley USA
  • 20 Mar 18 2018-03-20

SPG – CRE and Warehouse Lending Desk Strategist

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

The Fixed Income Division is comprised of Interest Rate and Currency Products, Credit Products and Distribution. Professionals in the Division assess and actively manage risk, trade securities, and structure as well as execute innovative transactions in the fast-paced and constantly changing global markets.

The Securitized Products Group (SPG) is seeking highly talented and motivated desk strategists at various levels of experience. The candidates will be part of a team responsible for the development of models, analytics, and web-based, high performance portfolio visualization tools for the desk, as well as maintenance of existing securitized products systems in a fast paced, real-time execution environment.


Skills Required:
• Bachelor's Degree in Economics, Finance, Operations Research, Statistics or related discipline
• Experienced idea generator, able to pitch ideas internally and externally
• Strong quantitative skills and programming ability
• Strong verbal and written communication skills
• Strong self-motivation

Skills Desired:
• MFE or other master's or PhD degree in a related discipline
• Working knowledge of Q/KDB