Quantitative Front Office Engineer - Associate/VP

AQR•Greenwich, CT

32d•$155,000 - $185,000•Hybrid

About The Position

AQR Capital Management is a global investment firm focused on delivering long-term results through rigorous testing of financial theories and practical application. Since 1998, AQR has become a leader in alternative strategies and an innovator in traditional portfolio management. The firm values academic excellence, intellectual honesty, and a commitment to seeking the truth. Collaboration, transparency, and openness to new ideas are key to their innovative approach. The Quantitative Research Development (QRD) team, specifically the front-office engineering group, is seeking a strong technical engineer. This team designs and builds the platforms and systems that support AQR's research and portfolio management workflows, operating at the intersection of technology and finance to translate research insights into scalable, systematic investment strategies. This role will focus on supporting the Specialized Investments Group (SIG), which is dedicated to specialized investment strategies, particularly tax-aware products. SIG develops and manages innovative, tax-efficient investment solutions and related strategies, representing a significant growth area for the firm. The engineer's work will be crucial in enabling and scaling SIG's investment efforts through engineering support, data infrastructure, and platform enhancements.

Requirements

3+ 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 the ability to 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, 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.

Nice To Haves

Understanding or experience in (quant) finance 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.
Build bespoke technology solutions that satisfy the needs of specific asset classes and research needs.
Engage in Machine Learning and AI-Driven application development.