Entry Level PhD Quant Traders/ Automated Market Making – New York- $200K+ recruitment

The team is focused on the full-lifecycle development and deployment of automated market-making systems and strategies across the markets.

Role:-

In terms of the role,  coming in at entry level you will be working alongside senior researchers and developers and working alongside traders in designing, back testing and deploying algorithms. Some of the work will also involve optimising existing algorithms to improve efficiency. This will involve hands on programming and coding whilst being an integral part in the research team that develops new strategies.The main responsibilities of the role will include data analysis, mining and cleaning, strategy back testing and implementation and also research of trading models. The work is highly scientific in nature and the successful candidate will work alongside employees with similar academic backgrounds in a collaborative and academic environment. Once you have embedded yourself into the company culture and understood the research phase which is vital for all traders you will become more actively involved in trading in a fully automated manner.

Requirements:-

The ideal candidate will have a very strong academic background, with a PhD, from a leading university, in a quantitative subject that has provided exposure to analysis of large scale data sets –i.e subjects such as Mathematics, , Computer Science, Statistics etc. 

Candidates with up to a couple of years of industry experience will also be considered. The firm has always been successful within the intraday space so candidates with strategies or experience covering intraday are preferable.

Strong C++ and object orientated programming skills.

A background in statistical machine learning is highly desirable.

Maths Olympiads are highly desirable.

Looking to work in a very research and technology driven environment for a global hedge fund- someone who is keen to apply their skills within the finance market.

Please send a Word CV to Sara Hunter at quants@ekafinance.com