Quantitative Researcher/Data Scientist
They have shown that keen insights and innovation are imperative for creating solutions to the problems faced when profitably trading the financial markets.
Across the board their emphasis is on hiring exceptional talent and look for skilled individuals 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 - attracted by the complex nature of the problems faced within finance, meritocratic culture, freedom to conduct independent research, similar working environments and vastly improved compensation.
Key requirements for a quantitative researcher include:
• Exceptional academics, with a Phd in a numerical discipline (Maths, Physics, Computer Science etc) from a top 10 University normally essential.
• Outstanding aptitude for quantitative problem solving supported by strong foundations in maths/statistics as well as the ability to code in at least one OO language.
• Professional or academic experience working with large/noisy data sets
• Up to a year’s experience, or a keen interest in, finance
• Quantifiable enthusiasm for applied/commercial problem solving
Rewards:
This is a great chance to accelerate a career in high frequency / quantitative trading by working with some of the most experienced and successful quantitative researchers/traders in the business. You will be exposed to all facets of the trade lifecycle; from initial strategy development to back testing and live trading.
For successful applicants the financial rewards are extremely generous - market leading base salaries up tyo $200,000 and first year bonuses of up to 100% with future earnings being many multiples of base and easily hitting seven figures.
For more information regarding the companies, positions and compensation do not hesitate to contact alex@campbellnorth.co.uk
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