Entry Level Quant Traders/ PhD’s in Maths/ Stats/ Comp Sci/ Finance/ Machine Learning- NY/- $120 + Bonus recruitment
Role:-
Working in a very entrepreneurial and technology driven environment you will be responsible for the development of algorithmic strategies and the alpha generation / research of new purely automated statistical trading strategies as well as the enhancement of the existing suite of strategies.
Requirements:-
PhD in Maths, Statistics, Operations Research, Finance or Computer Science from an elite faculty.
Outstanding record of academic achievement – top of class rank; medals, Olympiad success.
Analytical and technical background with a research focus
Background in Finance, demonstrated by coursework.
Understanding of optimization theory and algorithms (including dynamic programming, large-scale linear and non-linear programming, interior point methods, genetic algorithms, simulated annealing and robust optimization, machine learning) a plus
Solid programming skills (C++/Python/Perl
Functional or object orientated programming skills
The firm has a very high threshold as to the type of people they hire and historically have focused on bringing on board the highest calibre of candidates as this has contributed to the research driven environment they have.
Please send a Word CV to Sara Hunter at quants@ekafinance.com
Website- www.ekafinance.com