AQR-posted 3 months ago
$170,000 - $190,000/Yr
Full-time • Mid Level
Greenwich, CT
501-1,000 employees
Funds, Trusts, and Other Financial Vehicles

AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to identify and isolate the factors that matter most, and by developing ideas that stand up to rigorous testing. By putting theory into practice, we have become a leader in alternative strategies and an innovator in traditional portfolio management since 1998. At AQR, our employees share a common spirit of academic excellence, intellectual honesty and an unwavering commitment to seeking the truth. We're determined to know what makes financial markets tick - and we'll ask every question and challenge every assumption. We recognize and respect the power of collaboration and believe transparency and openness to new ideas leads to innovation. AQR is building a new Data Engineering team within the Enterprise Engineering organization to focus on solving problems working with big data. This team will work directly with researchers and others across the firm to build and manage the infrastructure that loads, validates, and provisions many large data sets used in the research and investment processes.

  • Design and build a new enterprise data platform used by quantitative researchers to manage large volumes of market, reference, and alternative data.
  • Build critical tools for data validation, back-testing, and investment insights.
  • Collaborate directly with Researchers and Portfolio Managers to define and implement detailed business requirements for new and existing projects.
  • Utilize big data technologies and cloud-based platforms to build an extensible and scalable solution.
  • 6+ Years of relevant work experience.
  • Bachelors/Masters/PhD in Computer Science, Engineering, or related discipline.
  • Outstanding coding, debugging, and analytical skills.
  • 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.
  • Experience with Python / NumPy / pandas or similar quantitative stack.
  • Familiarity with AI models and/or frameworks.
  • Paid time off.
  • Medical/dental/vision insurance.
  • 401(k).
  • Annual discretionary bonus.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service