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 by looking past market noise to identify and isolate the factors that matter 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) you’ll be knee-deep in mission critical challenges that make our investment ideas a reality. Collaborating side by side with researchers and portfolio analysts, you’ll design and build proprietary systems that drive both our research work and our production investment process.

Your Role

As a Tech Lead in Quantitative Research Development, you will build or extend our:

Data ingestion and validation engine
Signal generation and portfolio construction framework
Backtesters and related historical simulation tools
Scalable, AWS-based storage and computing infrastructure

You will partner with a global team of engineers and researchers for successful product delivery. You’ll be a hands-on leader, expected to make significant individual contributions 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
Ability and desire to develop in Python (our primary language for research-owned systems)
Expertise with system 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
Professional or academic background in quantitative finance
Experience with 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 collaborative
Hard-working and eager to learn
Committed to intellectual integrity and transparency
Motivated by the transformational effects of technology-at-scale

Quantitative Research Development - VP