Assistant Portfolio Manager - Systematic Trading, Cross Asset, New York, $300K++

Our client is a leading market maker, with expertise spanning the whole spectrum of asset classes. They are looking to appoint high calibre juniors as Assistant Portfolio Managers for their Systematic desks in New York, Greenwich or Connecticut.

Our client is a leading market maker, with expertise spanning the whole spectrum of asset classes. They are looking to appoint high calibre juniors as Assistant Portfolio Managers for their Systematic desks in New York, Greenwich or Connecticut.

The Role

The firm is currently going through a phase of rapid expansion due high profits and returns over the past 4 years. In order to satisfy growth plans the Group Head is looking to appoint a high performing junior to work very closely with the Portfolio Manager in developing and overseeing systematic alpha generating strategies.

You must have a strong back ground in optimisation theory/ techniques and have a very strong technical and problem solving skills. The role will be very fast paced and results- orientated as you will be learning firsthand the hard work and effort needed to be a success portfolio manager.

You will be involved in the full life trading life cycle and contributing towards the teams PNL. In addition you will be working alongside similar like minded experienced traders and leveraging your technical skills with the best in the industry.

This opportunity will best suit a recent PhD or MSc from a top 10 US institution looking to build a successful career within quant finance.

Requirements                                                  

• Ph.D. or M.S. degree from a top tier institution (such as MIT, Harvard, Stanford, Cal Tech, etc) in an analytical field, such as Mathematics Operations Research, Economics, Electrical Engineering, Computer Science and Physics.

• Post PhD experience in finance is not required but experience from other industries is welcome.

• Understanding of algorithms and optimisation theory.

• Strong problem solving and quant skills.

• Demonstrate interest and commitment to building a career as a systematic trader and the understanding of the application of your quant skills to trading the markets systematically is essential.

• Good research level and self supporting programming skills (C++, Pearl, Python).

Contact                                         

If you find this role of interest please contact Rizwaan Ahmed on apply@mavenalpha.comquoting reference RZAM or by telephone at +44 (0)203 178 5678.