Company
Campbell NorthLocation
USA-NY-New York CityRemuneration
Above market rate & bonusPosition Type
PermanentEmployment type
Full timeUpdated
09-Oct-2013eFC Ref no
1178002
If you have a commercial or academic
background working with big data, want to develop solutions to some of
the toughest data challenges on the planet, enjoy seeing real time
reesults from your research and want to maximise your earning potential
then read on.
My
client is one of the most successful quantitative trading firms ,
having won multiple industry awards and consistently ranked as one of
the best performing funds in this sector.
They are at the forefront of high frequency/quantitative trading and only hire exceptional people. All of their trading is automated, their trading systems are exceptionally quick though they do not rely on this to generate returns - these are developed by their highly experienced quantitative research teams which are all led by experience industry professionals with track records built up over a decade.
Their emphasis is on hiring exceptional talent with a passion for turning gigantic data sets into tangible information. Several hires over the past two years have been from Google and Facebook’s analytics teams as they left to join a smaller firm, where results are in real time and the financial upside is far greater.
Requirements:
· Exceptional academic progress; with an Msc or (preferably) a Phd in a numerical discipline from a top tier University
· Outstanding aptitude for quantitative problem solving supported by strong foundations in maths/statistics
· Professional or academic experience working with large/noisy data sets
· Up to a year’s experience, or a keen interest in, high frequency/quantitative trading
· Quantifiable enthusiasm for applied/commercial problem solving
· Good working knowledge of C++ / Java.
Rewards:
This is a great chance to accelerate a career in high frequency / quantitative trading by working within a genuine market leader. It is a competitive space and our client as stayed at the front due to providing their current staff with the top tools to conduct their research and hiring the very best from industry and academia.
On joining you will join an existing/highly profitable team and be exposed to all facets of the trade lifecycle; from initial strategy development to back testing and live trading.
If you have the mathematical/statistical and programming skills required for this role and want to have an introductory discussion in regards to specific details then please do not hesitate to contact paul@campbellnorth.co.uk
They are at the forefront of high frequency/quantitative trading and only hire exceptional people. All of their trading is automated, their trading systems are exceptionally quick though they do not rely on this to generate returns - these are developed by their highly experienced quantitative research teams which are all led by experience industry professionals with track records built up over a decade.
Their emphasis is on hiring exceptional talent with a passion for turning gigantic data sets into tangible information. Several hires over the past two years have been from Google and Facebook’s analytics teams as they left to join a smaller firm, where results are in real time and the financial upside is far greater.
Requirements:
· Exceptional academic progress; with an Msc or (preferably) a Phd in a numerical discipline from a top tier University
· Outstanding aptitude for quantitative problem solving supported by strong foundations in maths/statistics
· Professional or academic experience working with large/noisy data sets
· Up to a year’s experience, or a keen interest in, high frequency/quantitative trading
· Quantifiable enthusiasm for applied/commercial problem solving
· Good working knowledge of C++ / Java.
Rewards:
This is a great chance to accelerate a career in high frequency / quantitative trading by working within a genuine market leader. It is a competitive space and our client as stayed at the front due to providing their current staff with the top tools to conduct their research and hiring the very best from industry and academia.
On joining you will join an existing/highly profitable team and be exposed to all facets of the trade lifecycle; from initial strategy development to back testing and live trading.
If you have the mathematical/statistical and programming skills required for this role and want to have an introductory discussion in regards to specific details then please do not hesitate to contact paul@campbellnorth.co.uk
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