Quant Research Development Engineer
First seen by Alion on Aug 26, 2026.
About the Role :
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.
The Team :
Technology has long been an essential ingredient to our success, and as an associate in the quantitative research development 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.
What You Will Do :
- Build or extend our global asset signal, data and risk estimation infrastructure incorporating millions of data points.
- Develop intuitive research APIs leveraging cloud computing and cutting-edge visualizations.
- Build high-performance historical simulation/back testing engine for vetting new alpha strategies.
- Create bespoke technology solutions that satisfy the needs of specific asset classes and research needs.
- Partner with not only local but also global team of research engineers for successful product delivery.
What You Will Bring :
- BS/MS/PhD in Computer Science, Computational Finance, Data Science, or related discipline.
- At least 5+ years of experience as a quantitative developer, preferably in the financial services industry.
- Outstanding communication, coding, debugging, and analytical skills.
- Strength in pragmatic design and deploying applications using Linux/Docker/Python.
- An interest in quantitative finance (no finance/trading experience required).
Skills
Data Engineering, Quantitative Analytics, R&D, Linux, API