Quantitative Researcher - Data Science

My client is a systematic hedge fund with offices across Europe, North America and Asia. The firm is hiring Quantitative Researchers who are specialised in Data Science, particularly the applications of Machine/Deep Learning, NLP and Computer Vision. Successful applicants will apply various methods such as statistical learning, machine learning, and other data science-based techniques to analyse datasets and extract insight on the markets to develop and monitor strategies.

The Role:

• Researching and applying machine learning techniques to analyse datasets before developing and implementing strategies.
• You will work closely with developers and traders on the development, implementation, and live trading of these strategies.
• Quantitative Researchers can collaborate regardless of asset their team. 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.