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Quant Research Engineer
2 weeks ago
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.
The Team
Technology has long been essential ingredient to our success, and as a Quant Research Developer you will be knee-deep in mission critical challenges that make our investment ideas a reality. Collaborating side by side with specialized investment group and researchers, 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 part of Quant Research Specialized Investment Group (SIG), you will build or extend our:
SIG Tools, data and API infrastructure incorporating millions of data points
Intuitive research APIs leveraging cloud computing and cutting-edge visualizations
High-performance historical simulation/back testing engine for vetting new product launches.
Bespoke technology solutions that satisfy the needs of specific asset classes and research needs
Partner with not only local but also global team of Specialized Investment Group for successful product delivery
What You'll Bring Essential Skills:
BS/MS in Computer Science, Computational Finance, Data Science, or related discipline
3+ years of experience as a programmer with expertise in Python, Numpy and Pandas or similar quantitative stack.
Experience with SQL (SQL Server & PostGres preferred) is required.
• Ability to design elegant solutions and the ability to translate design into high quality code.
• Good analytical and problem-solving skills
- Good communication skills
Desired Skills:
An interest in quantitative finance (no finance / trading experience required)
Knowledge / Experience with cloud (e.g. AWS) is a plus
Demonstrated contributions to open-source software is also a plus.
An aptitude for mathematics, finance and econometrics is desired
