About AQR Capital Management
AQR is a global investment management firm built at the intersection of financial theory and
practical application. We strive to deliver superior, long-term results for our clients by seeking to
filter out market noise to identify and isolate what matters most, and by developing ideas that stand
up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in
technology — powering our insights and analysis. This unique combination has made us leaders in
alternative and traditional strategies since 1998.
AQR takes a systematic, research-driven approach, applying quantitative tools to process
fundamental information and manage risk. Our clients include institutional investors, such as
pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well
as financial advisors.
Job description:
The Team
Technology has long been essential ingredient to our success, and as a Tech Lead in Quantitative
Research Development (QRD) team you will be knee-deep in mission critical challenges that make
our investment ideas a reality. Collaborating side by side with researchers and portfolio analysts, you
will be responsible for designing and implementing proprietary systems and tools that drive the
quantitative strategy research and systematic investing that powers AQR.
Your Role
As a Tech Lead in Research in in Quantitative Research Development team, you will build or extend
our:
       Global asset signal, data and risk estimation infrastructure incorporating millions of data
        points
       APIs leveraging cloud computing and cutting-edge visualizations
       High-performance distributed compute/distributed storage infrastructure for historical
        simulation/back testing engine for vetting new alpha strategies
       Infrastructure for our ML/NLP based signals
       Bespoke technology solutions that satisfy the needs of specific asset classes and research
        needs
You will partner with not only local but also global team of engineers and researchers for successful
product delivery. You would be expected to lead initiatives both in technology transformation and
business driven projects along with significant individual contribution along with guiding and
mentoring junior team members.
What You’ll Bring
       BS/MS/PhD in Computer Science, Computational Finance, Data Science, or related discipline
       8+ years of software development experience
      Hands on programming experience with mastery over at least one programming language
       out of Python, Java, C++/C#
      Hands on experience in Python programming is desirable
      Experience of design and architecture
      Ability to lead technology initiatives through the development lifecycle and to manage
       workstreams within overall project
      Ability to guide and mentor junior team members
      Outstanding communication skills
      An interest in quantitative finance (no finance / trading experience required)
      Experience with Python / NumPy / pandas or similar quantitative stack is a plus
      Demonstrated contributions to open-source software is also a plus
      An aptitude for mathematics, finance and econometrics is desired
Who You Are
      Mature, thoughtful, and a natural fit for a collaborative, team-oriented culture
      Hard-working and eager to learn in a fast-paced, innovative environment
      Committed to intellectual integrity, transparency, and openness
      Motivated by the transformational effects of technology-at-scale