Description
A large financial institution in Chicago is actively seeking a Quantitative Developer to join its highly experienced quant development team to research and develop analytics that will contribute to new and existing risk strategies. The successful applicant for this position will be working closely with traders and quants to implement risk strategies. The successful applicant will also help in building data analysis tools for credit risk analysis and will be involved in building the firm's generation risk management systems.Qualifications for this role include:
-PhD/MS or BS with equivalent work experience in computer science, engineering, math, physics, statistics or any other quant-focused course.
-Strong GPA (3.5 or higher)
-Excellent programming skills in C++ and Java with at least 2-5 years experience.
-Solid knowledge of object-oriented programming and design.
-Experience with multi-threading and real-time systems.
-Experience with scripting languages, such as Python and Ruby, and/or statistical languages, such as R.
-Excellent communication skills.
-Experience with time-series data or large data set analysis a plus.
Expected compensation for this position is between $150-$170k. Interested parties should contact Huxley Associates.
To find out more about Huxley Associates please visit www.huxley.com