Quant Strategist - Chicago or New York

Quant Strategist - Chicago or New York

Who are you? 

You have excelled throughout your academic life and love the challenge within statistics and computer science. You considered moving into tech industry after graduating, but even though you like programming, you prefer data analysis using statistical or machine learning modelling. Quant trading presented the right balance between cutting edge research and practical application hence why you’re interested in or currently working in a quant strategist role.

You have always been able to find a solution to a problem, either through your own ingenuity or through the breadth of knowledge you’ve built up in different statistical and machine learning modelling. There is always an answer.

You are diligent to the point of obsessive with detail. The accuracy of your model is a function of the accuracy of your approach to research - bad data in, bad data out etc

You have some real world experience of dealing with very large data sets (structured or unstructured). This includes all the computational, data quality, fitting and storage nightmares that you’ve either experienced and rectified or had the foresight to predict.

Ok, enough about me, who is the client? 

Established in 2019 by one of the leading figures within the quant trading industry, my client is a well backed Quant Investment Hedge Fund that is seeking to build the worlds best prediction machine. Uncluttered by legacy platforms and historical baggage, they are combining the latest modelling techniques across statistics and machine learning to form predictions about the global markets and trade on those signals.

The culture is a more academic than trading floor. They happily class themselves as geeks but with a real drive and passion for financial markets. They are still a start up but they have gone through the phase of having to build desks and are now at the stage of real growth. Accordingly, they need to hire within their quant research team.

What's the role ? 

You will be creating or improving predictive models by applying sophisticated statistical and machine learning models to financial and alternative data sets. You will also be taking those signals and creating algorithms to monetize your predictions.

You should have an MS, or PhD in a STEM discipline and demonstrable ability to complete high level, statistical or applied mathematical research. Sound obvious but you should also be reasonably competent in either C++, Java, R, or Python.

Sounds good but I have a few questions - how do I get in touch ?

You can book a quick call using the link below or alternatively send me an email at s.grainger@gslsearch.com