Engineering - Portfolio Analytics - Java Developer - Analyst

As a Software Engineer in Portfolio Implementation, you will design, build, and extend systems that sit at the core of AQR’s investment process, including:

• Portfolio Implementation platforms that consume research outputs, perform constrained optimizations, and generate orders
• Cloud-based microservices engineered to run reliably and efficiently at scale
• Participate in architectural design discussions for high-performance, high-volume, highly available systems, gaining experience with trade-offs across performance, flexibility, and maintainability
• Bespoke technology solutions tailored to specific asset classes and evolving research needs
• Collaboration with a global team of researchers, portfolio managers and engineers for successful product delivery

• Degree in Computer Science or a related technical field
• 2+ years of professional programming experience with strong proficiency in Java
• Python experience is a strong plus, particularly for research integration and tooling
• Strong software design skills and the ability to translate design concepts into high-quality, maintainable code
• Excellent analytical thinking and problem-solving abilities
• Clear and effective communication skills
• Interest in financial markets and the investment process
• Experience operating microservice-based architectures and building scalable, distributed systems, using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server)
• Strong engineering best practices, including attention to code quality, peer code reviews (PRs), automated testing, and test coverage
• Experience operating, tuning, and profiling high-performance systems in production environments
• Experience with observability and monitoring platforms (e.g., New Relic) is a strong plus

• Take strong ownership of your work, with the drive to see initiatives through from idea to completion
• Comfortable leading change, overcoming obstacles, and navigating ambiguity to deliver results
• Naturally collaborative, thoughtful, and effective in a team-oriented environment
• Hard-working, curious, and eager to learn in a fast-paced setting
• Committed to intellectual integrity, transparency, and openness