Research & Portfolio Management Engineer – Specialized Investments Group
A quantitative engineer in AQR's front-office development team, supporting the Specialized Investments Group, which focuses on tax-aware strategies. It builds the data, simulation and optimisation platforms for those products.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Build data services and optimisation and validation engines for tax-aware products
- Extend the SIG tools and data APIs
- Improve the backtesting engine used to vet new product launches
- Develop machine-learning and AI-driven applications
What they ask for
Required
- Python, NumPy and pandas
- SQL (SQL Server and Postgres)
- Design patterns and object-oriented programming
- Microservices, containers and cloud
- Careful testing
- Awareness of AI and agentic frameworks
Preferred
- Quant finance understanding
- Education
- No degree level stated.
- Experience
- 3+ years as a programmer with Python and the quant stack
- Languages and tools
- Markets
- equities
How to prepare
- Build a backtesting engine that includes taxes and turnover constraints
- Learn how portfolio optimisation handles constraints in practice
- Practise service design with containers and cloud tools
- Study tax-aware investing concepts such as tax-loss harvesting
What to study
- Python for Quantitative Finance
- Portfolio Theory and Quantitative Investment
- Quantitative Data Engineering
- Linear Algebra, Optimisation and Numerical Methods
The Portfolio and Factor Quant roadmap sets out the stages for this kind of role, with free resources for each.
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Read the full posting on AQR Capital Management’s site before applying: requirements, location and pay can change after we check them.
View the posting on AQR Capital Management’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with AQR Capital Management and doesn’t handle applications.