Research & Portfolio Management Engineering - Analyst

AQR•Greenwich, CT

5d•$135,000 - $155,000

About The Position

AQR Capital Management’s Research Engineering team is seeking a technical engineer to support business initiatives in Quantitative Research Development (QRD), focused on the Global Stock Selection group. The GSS QRD group enables and supports Global Stock Selection Research by maintaining infrastructure and tooling, managing complex production workflows and large volumes of data, and contributing to signal generation, model construction, and portfolio construction. The team collaborates with researchers to create systematic investment strategies and refine existing ones, applying technology expertise and practical understanding of markets to implement research ideas and develop systems that support the business. In this software engineering role, you will build or extend scalable AWS-based storage and computing infrastructure, a generalized research platform, a data ingestion and validation engine, a model computation and signal generation pipeline, and a machine learning/Natural Language Processing pipeline. The role involves developing practical technical solutions to evolving business and engineering problems and collaborating across teams. The role requires a bachelor’s or master’s degree in a related technical field, strong Python programming skills, and 0–5 years of professional software engineering experience building production software. The stated salary range is $135,000 to $155,000, and the role is eligible for an annual discretionary bonus. A benefits package is offered to eligible employees.

Requirements

Experience developing software on Linux.
Experience building cloud-native applications using AWS or similar cloud platforms.
Experience with distributed systems, scalable applications, and large-scale data processing.
Proficiency with SQL and experience working with structured data at scale.
Hands-on experience building or integrating native AI applications, including practical experience with large language models, AI agents, or AI-assisted workflows.
Solid understanding of the strengths, limitations, and practical tradeoffs of LLMs, agentic systems, and modern AI technologies.
Ability to clarify requirements with stakeholders and develop practical, well-reasoned technical solutions to open-ended problems.
Comfort operating in environments where requirements evolve and exercising sound engineering judgment without detailed specifications.
Strong software engineering fundamentals, including system design, testing, code quality, and maintainability.
Excellent communication and collaboration skills, including the ability to explain technical concepts and work effectively across teams.
Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
0–5 years of professional software engineering experience building production software.
Strong programming skills in Python.

Nice To Haves

Experience supporting quantitative research, machine learning platforms, or financial technology applications.
Familiarity with investment research, signal generation, portfolio construction, or trading systems.
Experience with C++.

Responsibilities

Build or extend scalable, AWS-based storage and computing infrastructure.
Build or extend a generalized research platform.
Build or extend a data ingestion and validation engine.
Build or extend model computation and signal generation pipelines.
Build or extend machine learning and Natural Language Processing pipelines.
Work with stakeholders to clarify requirements for open-ended business or technical problems and develop practical technical solutions.
Collaborate with researchers to implement research ideas and develop systems that support the business.