Research & Portfolio Management Engineering - Analyst
AQR Capital Management
$135,000 - $155,000 / year
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Description
About AQR Capital Management
Founded in 1998, AQR is a global systematic investment management firm. As quantitative investors, research is the foundation of everything we do. We manage a range of alternative and long-only strategies designed to meet the needs of institutional and wealth investors around the world.
AQR’s culture reflects the firm’s academic roots and entrepreneurial spirit. Our collaborative environment fuels innovation and encourages employees to ask thoughtful questions, think creatively and bring new ideas forward. Continuous learning is an important part of the employee experience, helping our people build skills and grow throughout their careers. Employees at every level have opportunities to contribute, regardless of title or tenure.
The firm has 800 employees with headquarters in Greenwich, Connecticut and offices in London, Frankfurt, Dubai, Hong Kong, Sydney and Bengaluru.
The Team:
AQR’s Research Engineering team is seeking a strong technical engineer to strengthen our business initiatives in QRD, focused on our Global Stock Selection group.
The Global Stock Selection (GSS) Quantitative Research Development (QRD) group enables and supports Global Stock Selection Research at AQR. GSS QRD maintains a sophisticated infrastructure and tooling environment in support of the business, as well as a complex production process including orchestrating numerous workflows with large amounts of data. QRD is responsible for signal generation and model construction as well as many other aspects of portfolio construction that go into the running of our strategies. The QRD team works closely with researchers to create new systematic investment strategies and refine existing ones, applying technology expertise along with a practical understanding of markets to implement research ideas and develop systems that further enable the business.
Your Role:
As a software engineer at AQR, you will build or extend our:
- Scalable, AWS-based storage and computing infrastructure
- Generalized research platform
- Data ingestion and validation engine
- Model computation and signal generation pipeline
- Machine learning / Natural Language Processing pipeline
What You’ll Bring:
- Experience developing software on Linux.
- Experience building cloud-native applications using AWS or similar cloud platforms.
- Experience working 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 working with large language models (LLMs), 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 take open-ended business or technical problems, work with stakeholders to clarify requirements, and develop practical, well-reasoned technical solutions.
- Comfortable operating in environments where requirements evolve, exercising sound engineering judgment rather than relying on detailed specifications.
- Strong software engineering fundamentals, including system design, testing, code quality, and maintainability.
- Excellent communication and collaboration skills, with the ability to explain technical concepts and work effectively across teams.
- Experience supporting quantitative research, machine learning platforms, or financial technology applications is a plus.
- Familiarity with investment research, signal generation, portfolio construction, or trading systems is a plus.
Who You Are:
- 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; experience with C++ is a plus.
The salary range for this role is expected to be $135,000 to $155,000. This is the range that we in good faith believe is accurate for this role at the time of this posting. We may ultimately pay more or less than the posted range, depending upon factors such as skills, experience, location, or other business and organizational needs. This wage range may also be modified in the future.
This job is also eligible for an annual discretionary bonus.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
AQR is an Equal Opportunity Employer. EEO/VET/DISABILITY
Benefits
- health insurance
- vision insurance
- 401(k)
- paid time off
- bonus
About this role
AQR's Research Engineering team is building the technical backbone for their Global Stock Selection strategies, and this role sits at the intersection of infrastructure, data systems, and quantitative research. You'd be developing scalable AWS-based platforms that power signal generation, model computation, and the full pipeline from data ingestion through machine learning—working directly with researchers to turn investment ideas into production systems. The work spans cloud infrastructure, distributed data processing, and increasingly, AI and large language model integration.
The ideal candidate has 0–5 years of production software engineering experience with strong Python skills and hands-on exposure to cloud platforms, distributed systems, and large-scale data. What sets this role apart is the explicit expectation of practical AI experience: you should have built or integrated LLM-based applications and understand their real-world tradeoffs, not just theoretical knowledge. You'll also need to be comfortable with ambiguity—translating open-ended business problems into technical solutions without detailed specifications. Background in quantitative research, ML platforms, or fintech is valued but not required; a degree in Computer Science, Engineering, Mathematics, or a related field is.
Based in Greenwich, Connecticut with in-office work, the role offers a $135,000–$155,000 salary range plus discretionary bonus and standard benefits. This is a strong fit if you're a software engineer who enjoys working on complex systems, collaborating across technical and research teams, and want exposure to how systematic investment strategies actually get built and deployed.
How this employer is doing
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In the news
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Pay for this role
$135,000 to $155,000 per year
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