Mathematician- Quant Analyst- High Frequency Market Making- Algorithmic Trading- $250K++ recruitment

Company

The firm have offices in New York/ New Jersey, California and Chicago, and are focused on developing high frequency market making strategies across all major asset classes. They pride themselves on being at the forefront of high frequency trading innovations and hiring the most talented mathematicians to develop innovative trading strategies. The current focus is on hiring a team of talented mathematicians ideally at PhD level who will play a major part in expanding the global footprint of the firm and be future leaders. The firm rewards its staff with competitive salaries and a fast paced challenging working environment.

You will be primarily responsible for researching, analysing and developing mathematical/ statistical models that form the backbone of the firms trading initiative. Key areas of interest are candidates with experience across stochastic processes, time series analysis, signal processing or optimisation. The firm have a very high bar when it comes to the candidates they interview let alone the ones they hire, so candidates must demonstrate ability to stand out from the crowd. A strong academic background is a must- ideally within mathematics or a maths focused subject such as Physics, statistics or computational mathematics. In addition some commercial experience (internships or after studies) is welcome. Candidates that have an Olympiad or maths competition background will have special preference.

Competencies

• A strong academic background (any level) within a maths focused field

• Technically strong in statistical packages such as R, Matlab, VBA, Excel- exposure to C++ is a major plus

• Motivated by maths and its application to real life problems

• Olympiads are desirable

• A quantitative mindset is desirable

Contact                                                  

If you find this role of interest, please contact Rizwaan Ahmed at +44 (0)20 3178 5678 or via email on apply@mavenalpha.com quoting the reference RZAM.