Exciting opportunity for a high potential Quant Trader interested in joining a high-performance team of quants, researchers, traders and technologists at a NY-based Credit fund.
The Quant Trader will:
-Collaborate with Developers, Researchers and Quants to research, design, test and deploy automated trading strategies;
-Improve existing and develop new automatic trading strategies and trade signals in credit and equity markets;
-Develop, maintain and improve research infrastructure to help research and trading, including simulation framework, trade signal evaluation tools etc;
-Assist in building trading system components to monetize research and drive P&L optimization.
The successful candidate will have:
-1-3 years' quant trading experience (experience with credit and/or equity strongly preferred);
-Experience with market making and market micro-structure a strong plus;
-Experience in researching, designing, testing and deploying automated trading strategies;
-Ability to conceptualize trading ideas while also developing and improving quantitative models;
-Minimum of a Bachelors degree in a quantitative subject, ie: Computer Science, Engineering, Finance, Math, Statistics. Masters degree preferred;
-Strong technical toolkit, hands-on proficiency with Python required. Additional OOP [Java or C++] strongly preferred;
-Strong analytical skills and experience with analyzing large data sets;
-Deep knowledge of statistical methods like time series, pattern recognition and/or machine learning to identify trading signals;
-Passion for digital assets, the markets and new technologies;
-CFA preferred;
-Ability to communicate complex ideas clearly and to present to both technical and non-technical audiences;
-Ability and aptitude to operate effectively in a fast-paced, fluid and ambiguous environment;
Highly competitive compensation includes base ($200k-$250k) + bonus + benefits.
For more information and a discussion in confidence, please apply with your resume.