Role:-

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

Requirements:-

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

Apply:-

Please send a PDF CV to