Python Data Engineering Software Developer

As a data engineering developer, you will participate in designing and building a new enterprise data platform used by quantitative researchers to manage large volumes of market, reference, and alternative data, both structured and unstructured. You will also build critical tools that will be used across the firm to validate data, back-test, and find valuable investment insights. You will be collaborating directly with Researchers and Portfolio Managers to define and implement detailed business requirements for new and existing projects. This critical team will use big data technologies and cloud-based platforms to build an extensible and scalable solution to the data needs of one of the largest quantitative investment firms in the world.

What You’ll Bring:

• 6+ Years of relevant work experience
• Bachelors/Masters/PhD in Computer Science, Engineering, or related discipline
• Outstanding coding, debugging, and analytical skills; Python required, other languages are a plus
• Ability to work directly with business stakeholders to spec out and implement solutions
• Experience working in a distributed data environment and working with large data sets
• Knowledge of big data frameworks such as Spark and Hadoop
• An interest in quantitative finance (no finance / trading experience required)
• Familiarity with one of the large cloud providers is required; AWS experience is a plus
• Familiarity with AI models and/or frameworks is a plus

Who You Are:

• Mature, thoughtful, and a natural fit for our collaborative culture
• Hard-working and eager to learn in a fast-paced, innovative environment
• Committed to intellectual integrity, transparency, and openness
• Motivated by the groundbreaking effects of technology-at-scale

We believe that the next innovation to transform our business could come from anyone at AQR. Expect to be recognized not only for your diligence and hard work today, but for your vision for tomorrow. We are mathematicians, computer scientists, engineers and artists, passionate about advancing financial research and pushing the limits of today’s technology.