Corporate Commercial Desk Strategist / Credit Analytics (VP)

Location: New York, NY, United States
Date Posted: 07-24-2018
Corporate Commercial Desk Strategist / Credit Analytics
  
The Fixed Income Division is comprised of Interest Rate and Currency Products, Credit Products and Distribution. Professionals in the Division assess and actively manages risk, trade securities, and structure as well as execute innovative transactions in the fast-paced and constantly changing global markets. The Commodities Division is a market leader in energy, metals, and agricultural product trading worldwide whose professionals trade in both physical and derivative commodity risk.

 

The Corporate Credit group is seeking a highly talented and motivated desk strategist with 2+ years of experience. The successful candidate will help execute on the strategic vision / business growth opportunities, generate trade ideas, build models and portfolio analytics, aid risk management, and oversee development of trader tools and platforms in a fast paced, real-time trading environment.  More specifically, focus will be given toward the build-out of the credit analytics business, including sourcing and dissemination of corporate fundamentals data, trade recommendations, tear-sheet automation, and signal generation.  This infrastructure may impact both voice- and e-trading and aid the build-out of our corporate financing businesses.*LI-NF1

 
Qualifications
Skills Required:
• Bachelor's Degree in Economics, Finance, Engineering, Computer Science or related discipline
• Recent experience as a corporate desk strategist / quant on either buy-side or sell-side
• Working knowledge of Corporate Financial Statements
• Excellent quantitative skills and programming ability in a major language
• Outstanding verbal and written communication skills
• Strong self-motivation
• Ability to work with a strong sense of urgency while maintaining attention to detail

 

Skills Desired:
• MFE or other master’s degree in a related discipline
• Demonstrated project management experience
• Working knowledge of Q/KDB, Python, HTML5
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