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 AI/Machine Learning. Successful applicants will apply statistical and machine learning models to traditional and alternative datasets to develop alpha. The Role:
Researching and applying machine learning models to analyse datasets before developing and implementing strategies. You will work closely with developers and traders on the development and implementation 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. Recommended Skills Finance Information Technology Matlab Machine Learning Mathematical Finance Mathematics Apply to this job. Think you're the perfect candidate? Apply on company site $(document).ready( function() $(#ads-desktop-placeholder).html(
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n Estimated Salary: $20 to $28 per hour based on qualifications.
Researching and applying machine learning models to analyse datasets before developing and implementing strategies. You will work closely with developers and traders on the development and implementation 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. Recommended Skills Finance Information Technology Matlab Machine Learning Mathematical Finance Mathematics Apply to this job. Think you're the perfect candidate? Apply on company site $(document).ready( function() $(#ads-desktop-placeholder).html(
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n Estimated Salary: $20 to $28 per hour based on qualifications.
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