Entry level Quantitative Strategist – Quantitative/ Algorithmic/ Systematic Trading Strategies Equities/ Currencies/ Commodities/ – New York based recruitment
My client is looking for a candidate with exceptional quantitative talent, confident, and a self-motivated individual that wants to build a successful and profitable career in a quantitative trading.
The client is a multibillion dollar hedge fund that trades extremely sophisticated mathematical models across most asset classes ( global equities, FX spot, global futures), and geographies. All trading models are fully automated/ systematic without human intervention once developed and coded. The client is constantly looking for new ways to generate profit/ alpha through identifying, and quantifying inefficiencies on liquid worldwide financial markets, and works to achieve this through their research teams.
In this role you will have the opportunity to work alongside some of the best quantitative traders/ researchers in the market and develop your own strategies within a team oriented environment, and earn a performance based bonus.
Requirements:
Exceptional academic results (MS, or PhD) from a top academic institution in a quantitative subject area Operations Research/ Econometrics, Computer Science, Statistics, Electrical Engineering, Computational Mathematics etc...
Strong programming skills in C++, Perl, or Python;
Rigorous understanding of; Optimization theory, Algorithms, programming (dynamic programming, large scale linear and non-liner programming, genetic algorithms, interior point methods, robust optimization)
Strong problem solving skills
Strong work ethic
Please reply to rw@capitalchase.com for immediate consideration.