Quantitative Researcher - Data Science

My client is a systematic hedge fund with offices across Europe, North America and Asia. The firm has a mandate for Quantitative Researchers who are specialised in Data Science, particularly the applications of Machine Learning, Deep Learning, Reinforcement Learning, NLP, or Computer Vision. Successful applicants will apply Data Science techniques to analyse datasets and develop strategies.

The Role:

• Researching and applying Data Science techniques to analyse datasets.
• You will work closely with other researchers, developers and traders on the development and implementation of these strategies.
• Quantitative Researchers can collaborate with each other globally. You will share ideas and work on tools for others to use across the firm, expanding the business and building your own skills.

Requirements:

• An academic background with degrees covering numerical fields of study, such as Computer Science, Mathematics, and Quantitative Finance, PhD level degrees are preferred but not required.
• Experience/knowledge of finance from academic studies, internships or professional experience.
• Coding proficiency in at least on language, successful candidates are typically expert users of Python, and proficient with machine learning packages. Skills in other statistical/mathematical modelling languages such as R and MATLAB are also beneficial.