When you work with us, you get to 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 re 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 work with these organizations.

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

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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