Position Summary
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.
When you work with us, you tackle tough problems alongside other scientists and engineers. People who will challenge your ideas. Who you can really learn from, and collaborate with. And you’ll be doing work that matters to a lot of people, too. Our investors include some of the world’s largest retirement funds, research institutions, educational endowments, healthcare systems and foundations. We admire what they do, and we’re proud to serve these organizations.
You will take on the following responsibilities:
Use a rigorous 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
Join our reading circles to stay up to date on the latest research papers in your fields
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:
You will enjoy the following benefits:
The base pay for this role will be between $200,000 and $220,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.