About this role
You will take on the following responsibilities:
- Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave
- Apply machine learning to a vast array of datasets
- Create and test complex investment ideas and partner with our engineers to test your hypotheses
- Join our reading circles to stay up to date on the latest research papers in your field
- Attend academic seminars to learn from thought leaders from top universities
- Share insights from conferences focused on statistics, machine learning, and data science
You should possess the following qualifications:
- 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)
- Understanding of the ins and outs of machine learning algorithms—and can tweak them as needed
- Experience with applied machine learning to real-world datasets
- Published your work in journals and/or have presented at conferences