Quantitative Front Office Engineer - Vice President

AQRGreenwich, CT
115d$175,000 - $195,000

About The Position

AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to identify and isolate the factors that matter most, and by developing ideas that stand up to rigorous testing. By putting theory into practice, we have become a leader in alternative strategies and an innovator in traditional portfolio management since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations, and sovereign wealth funds, as well as financial advisors and individual investors. AQR’s Research Engineering team is seeking a strong technical engineer. You will be joining AQR’s Quantitative Research Development (QRD) team. QRD is the front-office engineering group at AQR, consisting of quantitative engineers who design and build the platforms and systems that power our research and portfolio management workflows. The team works at the intersection of technology and finance, ensuring that the insights generated by our researchers can be translated into scalable, systematic investment strategies. Within QRD, this role will be primarily focused on supporting the Specialized Investments Group (SIG). SIG is dedicated to specialized investment strategies, with a particular emphasis on tax-aware products. The SIG research team plays a central role in designing and implementing innovative solutions that address the growing demand for tax-efficient investment approaches. Beyond tax-aware products, SIG also develops and manages related strategies that contribute to a significant growth area for the firm. Your work will help enable and scale SIG’s investment efforts through engineering support, data infrastructure, and platform enhancements.

Requirements

  • 5+ years of experience as a programmer with expertise in Python, NumPy and Pandas or similar quantitative stack.
  • Experience with SQL (SQL Server & Postgres preferred) is required.
  • An understanding of AI and agentic frameworks, especially as it relates to engineering productivity and capability.
  • Ability to design elegant solutions and translate design into high quality code.
  • Mastery of design patterns and object-oriented programming techniques.
  • Strong understanding of best practices for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud.
  • Strong attention to detail and passion for careful testing.
  • Excellent communication skills and ability to work with global team members.
  • Ability to work with business colleagues and collaborate on solutions and coordinate work across the team.
  • Understanding or experience in (quant) finance is a large plus.

Responsibilities

  • Build or extend data and services platforms, optimization, and orchestration and validation engines.
  • Develop SIG Tools, data and API infrastructure incorporating millions of data points.
  • Create intuitive research APIs leveraging cloud computing and cutting-edge visualizations.
  • Develop a high-performance historical simulation/back testing engine for vetting new product launches.
  • Design bespoke technology solutions that satisfy the needs of specific asset classes and research needs.
  • Engage in machine learning and AI-driven application development.

Benefits

  • Paid time off
  • Medical/dental/vision insurance
  • 401(k)
  • Annual discretionary bonus
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