Two Sigma is a leading quantitative investment management and trading firm. The role involves developing investment models using scientific methods and quantitative techniques while engaging with the academic community.
Responsibilities
Use the scientific method to develop sophisticated investment models and shape our 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
Qualification
Required
Pursuing a degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science with approximately one year remaining in your programs (all levels welcome, from bachelor's to doctorate)
Demonstrate intermediate skills in at least one programming language (like C, C++, Java, or Python)
Performed an in-depth research project, examining real-world data
Are an independent thinker who can creatively approach data analysis and communicate complex ideas clearly
Preferred
Background in finance is nice to have, but not required
Benefits
Onsite gyms with laundry service
Wellness activities
Casual dress
Snacks
Game rooms
Flexible in-office days with budget for home office setup
Two Sigma's technology-driven team streamlines the use of machine learning, distributed computing and research to guide its endeavors.
