Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry's premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry's brightest talent. For more information, visit www.Point72.com/about.
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Our Technology department is constantly working to improve our IT infrastructure to position us at the forefront of the rapidly evolving technology landscape. We’re a team of experts experimenting and discovering new ways to provide exceptional products to our end-users while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity.
Whether you’re working toward your degree, searching for your first job out of school, or looking to apply your experience to new challenges, we have limitless opportunities for exceptional talent.
Build and optimize the end-to-end applications, platforms, and infrastructure that help us monitor trades, manage risk, and manage internally and externally sourced data sets.
We’re looking for top talent in engineering and technology services—innovative thinkers and problem solvers that can adapt quickly in a fast-paced environment.
Cubist Systematic Strategies is the systematic investing business of Point72. We deploy systematic, computer-driven trading strategies across multiple liquid asset classes. Browse open roles at Cubist
- Cubist Quant Academy: If you’re graduating with an undergraduate or advanced degree in a STEM field and interested in taking a scientific approach to the markets, our year-long rotational program sets you on the path to success in your systematic investing career.
On our proprietary research team, you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets.
