Machine Learning Researcher
Summary:
One of the worlds leading Quant-driven Algorithmic Trading group with offices across the US and London is seeking an exceptional Machine Learning Analyst to join their award wining quant research team. Prior experience in finance is not necessarily required, although they would expect the successful candidate to express a demonstrable interest in learning the financial markets.
The Role / Candidate:
An extremely strong background in mathematics and computer science is a prerequisite. A post-graduate degree in Machine Learning is desirable though the strongest candidates will perhaps have been trained with a Bayesian approach with strong understanding of Naive Bayes, Multivariate Gaussian and SVM's.
The successful candidate will be someone who is not just a user of machine learning libraries, but understands and can successfully use a number of approaches, e.g.: classification, clustering, linear models. You must have a proven ability to innovate and adapt said methods to specific problem domains, preferably as demonstrated through 'best paper' published work or recognised industry awards.
Candidates should have experience working with large and/or web-scale quantitative data sets (1Gb of data) and demonstrated ability with the following:
- Applied ML/statistical inference in a distributed environment (e.g. hadoop/condor)
- Used the data to come up with new research ideas/hypothesis and be able to test these using the data
Desired Skills Experience
Education background:
- An MS/PhD degree from one of the worlds leading universities or research labs in one of the following fields: Statistics, Computer Science, Speech Recognition, Electrical/Electronic Engineering or Physics.
- Up to date knowledge in the field of machine learning and statistical learning,
- Deep and thorough understanding of the theoretical justifications of ML techniques and methods.
Additional skills that they are seeking include:
- Ability to conduct the full spectrum of research on one's own: from model design to algorithm development to testing.
- Comfort with some scripting language (Python/Unix shell/etc.) and a numerical language (R/Matlab).
- C++ ( 5k lines) / Perl / Bash knowledge is also ideal
- Experience working with real world large datasets
- Experience at top-tier research labs
- Awards and honors in leading mathematics / physics / computer science competitions
I specialise in recruiting within the quant and systematic trading space. If you're looking for a new challenge or just keeping an eye on what's around, I'd be happy to discuss what's happening in the market at the moment. Alternatively you can send in an up to date CV then I can reach out to discuss in more detail.
All conversation are treated with the strictest confidence
This role is only one of many vacancies within the Front Office Quant Systematic Trading space that we are currently handling at Huxley Associates. If you feel that this role may not be exactly what you are looking for, please ask for Felix Bateman or Emily Organ on 0207 469 5055 for further information on similar roles. Equally, if you do know anyone who may be appropriate for this role, please do not hesitate to forward this on.
To find out more about Huxley Associates, please visit www.huxley.com.
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