Role:-

• Use a rigorous scientific method to develop sophisticated investment models and shape  insights into how the markets will behave
• Apply quantitative techniques like machine learning to a vast array of datasets
• Create and test complex investment ideas and partner with our engineers to test your theories
• Attend academic seminars to learn from thought leaders from top universities
• Share insights from conferences focused on statistics, machine learning, and data science

Requirements:-

• Degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)
• Intermediate skills in at least one programming language  (like C, C++, Java, or Python)
• Experience performing an in-depth research project, examining real-world data
• Ability to think independently and creatively approach data analysis and communicate complex ideas clearly