I am working with a top Investment Bank that is working on building out a lean, dynamic, top-down equity research team. For the next hire, they are looking for self-motivated and entrepreneurial individuals with a quant research background (preferably in equities) who can generate their own ideas and follow through on research for novel investment strategies. This team sits on an active equity trading floor and primarily supports that desk, but also collaborates regularly with other asset class trading desks, as well as clients. This is a greenfield team that is looking to speak with candidates of all seniorities ranging from associate all the way to Director level.
Responsibilities:
- Utilize a blend of fundamental, quantitative, and derivative to build equity trade articulations for the desk
- Utilize statistical and machine learning techniques to analyze large datasets and identify trading signals.
- Perform analysis to understand the impact of macroeconomic events on equity markets.
- Conduct research, design and implement new investment strategies for the business
- Collaborate with traders to enhance model development and strategy execution
Requirements:
- Advanced degree in Math, Statistics, Economics, or related field.
- 2+ years of experience in role as a Quant/strategist/research analyst
- Applicable experience in equities (ideally delta one, vol, etc.)
- Strong background in developing and implementing quantitative models and trading strategies.
- Proficiency in Python, R, SQL, Matlab, etc.
