This successful algorithmic market maker has enjoyed phenomenal growth since foundation. The Research team forms the beating heart of the enterprise and continually seeks to add exceptionally talented Researchers. The right person will have a strong theoretical and applied machine learning background and be motivated to develop and build their career at the forefront of technological innovation within the financial markets.
Responsibilities
Building statistical models that are integral to the successful trading strategies
Huge volume data collation from noisy observations, data cleaning, processing and analysis to discover significant meaning
Deploying state of the art machine learning techniques deployed on a large cluster of computational resources
Technical Skills and Experience
Evidence of designing and building original, large-scale machine learning models
Highly motivated, meticulously detail oriented, conscientious, proactive and honest
Problem solver. Verifiable evidence of identifying and resolving problems leveraging both theoretical knowledge and practical experience
You continually strive to make improvements and automate processes
Based on data driven evidence you are able to quickly discern and evaluate the immediate and long term implications of decision making
You positively thrive working in a diverse and dynamic team environment while striving for a common objective.
Prior exposure to electronic financial markets.
Experience working within a highly automated trading environment is essential
Graduate/PhD from a leading university in a scientific or mathematical discipline such as Maths, Statistics, Physics or Computer Science
Expert proficiency in Python or R
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Director
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