| Role:- You will be responsible for projects from initial idea generation through to implementation and execution, tackling challenges in areas such as prediction, optimisation and data analysis. Your research will involve large and often complex data sets. Your tools will be a range of computer programming languages (such as C++ and Python) and analysis packages, and their in-house development infrastructure. Requirements:- You must have an advanced degree in mathematics, computer science, physics, statistics or econometrics. Proven research ability is desirable, together with strong programming skills. You will also have experience in some of the following areas: statistics (including robust techniques), machine learning, natural language processing, optimisation, time series analysis, signal processing and numerical analysis. They use these techniques to understand and quantify relationships among numerical and textual data from numerous sources. You will be confident using statistics as a tool to validate experimental results. You must be very comfortable coding in C++ or Python. Apply:- Please send a PDF format resume to quants@ekafinance.com | 
