Jobs at amadaninc

View all jobs

Corporate Commercial Desk Strategist / ETF

New York, NY
Corporate Commercial Desk Strategist / ETF

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 4+ 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 corporate credit bond portfolio / bond ETF trading platform, including trade optimization and risk management functions.

Skills Required:
• Bachelor's Degree in Economics, Finance, IEOR, Statistics, Computer Science or related discipline
• Recent experience as a corporate desk strategist / quant on either buy-side or sell-side
• Strong knowledge of Flow Credit products, including quoting / trading mechanisms
• 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
• Working knowledge of bond ETF trading / creates / redeems
• Working knowledge of Corporate Financial Statements
• Working knowledge of factor-based investing
• Demonstrated project management experience
• Advanced knowledge of Q/KDB, Python, R, Java/Scala
Powered by